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1

Ardiansyah, Ardiansyah, Shabri Indra Suryalfihra, Dawamul Arifin, and F. V. Astrolabe Sian Prasetya. "Perbandingan Pengolahan Data Foto Udara Menggunakan Perangkat Lunak Agisoft Metashape Professional dan APS Menci." Journal of Geomatics Engineering, Technology, and Science 1, no. 2 (2023): 42–49. http://dx.doi.org/10.51967/gets.v1i2.20.

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Photogrammetry is a method of mapping objects on the earth's surface using aerial photographs as a medium. Orthophoto is a product of photogrammetry. Utilization and processing of aerial photo data are increasingly widespread with the support of various adequate software. This study aims to process aerial photo data and determine differences in the quality of orthophotos produced from Agisoft Metashape and APS Menci software. In this study, 714 aerial photo data were taken using the DJI Phantom 3 pro drone, and 9 Ground Control Points were obtained from static measurements using the Comnav T300 Geodetic GPS, processed using the Agisoft Metashape and APS Menci software, starting from Georeferencing, DEM Making, DTM, Editing Semalines, and Orthophoto. The results obtained from this study visually produce orthophotos that have different lighting. APS Menci is brighter than Agisoft Metashape. In addition, there is also a difference in the area of 9.1 Ha from orthophoto where Agisoft Metashape produced 64.61 Ha while APS Menci was 55.51 Ha. The GSD (Ground Sampling Distance) value of Agisoft Metashape is 4.12 cm and APS Menci is 4.2 cm. From the results of the orthophoto semantic quality test obtained from the interpreter it gives a Level 7 score on the NIIRS (National Imagery Interpretability Rating Scale) based on the IRARS (Imagery Resolution Assessment and Reporting Standards) table, where the resulting orthophoto can detect steps on stairs. It is recommended to use the Agisoft Metashape software for better results and speed of use.
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AGUSTINA, FRANSISCA DWI. "EVALUASI UJI PERBANDINGAN KETELITIAN PADA ORTOFOTO BERDASARKAN STANDAR ASPRS." Elipsoida : Jurnal Geodesi dan Geomatika 4, no. 01 (2021): 16–26. http://dx.doi.org/10.14710/elipsoida.2021.11015.

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Pemetaan dengan pemotretan foto udara pada umumnya menghasilkan ketelitian yang cukup akurat. Pemotretan foto udara tersebut menghasilkan sumber data berupa ortofoto. Ortofoto yang masih belum melalui proses rektifikasi yaitu sebuah metadata dalam bidang proyeksi perspektif dan masih dipengaruhi oleh pergeseran relief, distorsi lensa, dan kemiringan kamera. Proses pengolahan ortofoto dapat dilakukan dengan berbagai macam software pendukung guna untuk melakukan proses rektifikasi. Dari berbagai macam software pengolahan ortofoto memiliki ketelitian yang berbagai macam pula, terutama hasil produk dari ortofoto. Ortofoto digital diperoleh melalui digital yaitu dengan menggunakan software, yang mana di awali dengan melakukan koreksi ketinggian Digital Elevation Model (DEM). Kualitas ortofoto dapat ditentukan dengan menggunakan kontrol kualitas yaitu melakukan uji ketelitian geometrik.Pada penelitian ini dilakukan proses untuk menghasilkan ortofoto dengan menggunakan software Agisoft Metashape dan Pix4d Mapper. Data yang diolah yaitu metadata foto udara dan hasil pengukuran titik GCP menggunakan Pengukuran GPS Geodetic. Penelitian ini bertujuan untuk mengevaluasi ketelitian geometrik pada ortofoto menggunakan dua software yang berbeda. Ketelitian geometri dihasilkan oleh nilai residu error ICP terhadap geometri ortofoto yang terbentuk pada pemrosesan foto udara menggunakan software Agisoft Metashape dan Pix4d Mapper.Hasil perhitungan ketelitian geometrik merujuk pada ketelitian standar ASPRS. Evaluasi terhadap uji perbandingan ketelitian software Agisoft Metashape memiliki nilai RMSEr : 0.056310298m dan untuk tingkat kepercayaan 95% maka RMSEr x 1.7308 : 0.097462 m. Hasil ketelitian software Pix4d Mapper memiliki nilai RMSEr : 0.063017 m dan untuk tingkat kepercayaan 95% maka RMSEr x 1.7308 : 0.109071m.Pada software Agisoft Metashape menunjukkan bahwa hasil pengolahan ortofoto tergolong kategori class III dengan skala 1 : 200, dan software Pix4dMapper hasil pengolahan ortofoto tergolong kategori class III dengan skala 1 : 250. Maka dapat disimpulkan menurut hasil evaluasi terhadap hasil uji ketelitian data ortofoto menurut standar ASPRS menunjukkan bahwa software Agisoft Metashape memiliki nilai keakurasian yang lebih baik daripada software Pix4dMapper. Kata Kunci : Ortofoto, ASPRS, Agisoft Metashape, Pix4dMapper
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Rahman, A. D. M., and A. B. Cahyono. "Analysis Of 3-D Building Modeling Using Photogrammetric Software: Agisoft Metashape And Micmac." IOP Conference Series: Earth and Environmental Science 1276, no. 1 (2023): 012044. http://dx.doi.org/10.1088/1755-1315/1276/1/012044.

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Abstract In constructing three-dimensional models, photogrammetry techniques, particularly close-range photogrammetry techniques, are growing and becoming an alternative, specifically for architectural and historical site modeling. Because they are less costly, simpler, and quicker to complete while producing positive results, there is a great number of photogrammetry software. Still, it is difficult to determine which application provides the best measurement results because user expectations vary. It is necessary to conduct geometric precision and visualization analyses to assess the software’s output. For this experiment, 3D models of a building were created using Agisoft Metashape and MicMac. The geometric accuracy calculated by Agisoft Metashape has RMSE values of x=0.025 m, y=0.037 m, and z=0.021 m. RMSE values for the MicMac are x=0.066 m, y=0.129 m, and z=0.118 m. Visually, the Agisoft Metashape-created three-dimensional model offers superior visual results and fewer connection points than the MicMac GUI. On a three-dimensional building model processed with Agisoft Metashape, the generated cloud-to-cloud distance is comparable to the distance between the reference point cloud. Except for the building’s rear, the distance between clouds using the MicMac is nearly identical to that of the reference point cloud.
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Budi, Bayu Indra, Dwiyantri Rahesanita, Efri Triana Nur Arifin, et al. "PERBANDINGAN VERTIKAL DIGITAL TERRAIN MODEL DENGAN PENGUKURAN GNSS METODE RTK-NTRIP (STUDI KASUS : WILAYAH KAMPUS UPI BUMI SILIWANGI)." Jurnal ENMAP. 3, no. 1 (2022): 19–27. http://dx.doi.org/10.23887/em.v3i1.44781.

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Perkembangan teknologi kian berkembang setiap saat. Dalam dunia pemetaan, perkembangan teknologi dapat dirasakan dengan munculnya berbagai metode pemetaan yang semakin modern, salah satunya adalah fotogrametri. Pada fotogrametri dikenal istilah UAV (Unmanned Aerial Vehicle) atau pesawat tanpa awak yang dikendalikan melalui sistem remote. UAV dapat dimanfaatkan untuk pekerjaan pemetaan berskala besar dengan biaya yang relatif murah dan waktu yang cepat. Selain perkembangan wahana, perkembangan perangkat lunak pengolah foto udara juga terus mengalami perkembangan. Sekarang ini, proses pengolahan foto udara dapat dilakukan secara digital, misalnya dengan memanfaatkan software Agisoft Metashape Professional, PCI Geomatica dan Cloud Compare. Penelitian ini akan mengevaluasi mengenai perbandingan ketelitian Digital Terrain Model (DTM) menggunakan software Agisoft Metashape Professional, PCI Geomatica dan Cloud Compare lalu dilanjutkan dengan menguji ketelitian DTM dengan data pengukuran GNSS menggunakan metode RTK-NTRIP, selain itu juga akan membandingkan berbagai variasi bentuk premark. Hasil yang diperoleh terdapat perbedaan nilai Z antara hasil DTM dengan pengukuran RTK-NTRIP. Dari hasil analisis, maka didapatkan software yang memiliki perbedaan rata-rata terkecil yaitu Agisoft Metashape Professional, kemudian PCI Geomatica, dan terakhir Cloud Compare.
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Lewis, M., and C. Oswald. "CAN AN INEXPENSIVE PHONE APP COMPARE TO OTHER METHODS WHEN IT COMES TO 3D DIGITIZATION OF SHIP MODELS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W10 (April 17, 2019): 107–11. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w10-107-2019.

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<p><strong>Abstract.</strong> This study compares the differences between traditional 3D modeling software such as ‘Agisoft Metashape’ and the recently released smartphone application ‘Qlone’. Specifically, this study examines how well each software handles creating 3D renderings of ship models. Comparisons between quality, complexity handling, time, cost, and equipment requirements will be examined to better understand each program's strengths and weaknesses. Ultimately, Agisoft Metashape will demonstrate that it is still the preferred method for most professional and academic use for its high precision accuracy. While Qlone may be a reasonable choice for the average hobbyist or enthusiast due to its availability and relatively low cost.</p>
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Castanheiro, L. F., A. M. G. Tommaselli, M. B. Campos, A. Berveglieri, and G. Santos. "3D RECONSTRUCTION OF CITRUS TREES USING AN OMNIDIRECTIONAL OPTICAL SYSTEM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W12-2020 (November 4, 2020): 7–12. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w12-2020-7-2020.

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Abstract. This paper presents a feasibility study on the use of omnidirectional systems for 3D modelling of agricultural crops, aiming a systematic monitoring. Omnidirectional systems with multiple sensors have been widely used in close-range photogrammetry (CRP), which can be a good alternative to provide data for digital agriculture management. The GoPro Fusion dual-camera is the omnidirectional system used in this work. This system is composed of two cameras with fisheye lenses that cover more than 180° each one in back-to-back position. System calibration, camera orientation and 3D reconstruction of an agricultural cultivated area were performed in Agisoft Metashape software. A 360° calibration field based on coded targets (CTs) from Agisoft Metashape software was used to calibrate the omnidirectional system. The 3D reconstruction of an orange orchard was performed using fisheye images taken with GoPro Fusion. The results show the potential of using an omnidirectional system for 3D modelling in agricultural crops, in particular citrus trees. Interior orientation parameters (IOPs) was estimated using Agisoft Metashape target/software with a precision of 9 mm. A 3D reconstruction model of the orange orchard area was obtained with an accuracy of 3.8 cm, which can be considered acceptable for agricultural purposes.
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Kornilov, Yu N., A. Yu Romanchikov, and A. A. Bogolyubova. "Estimating deformation process through single shot close range photogrammetry method in Agisoft Metashape." Geodesy and Cartography 1000, no. 10 (2023): 2–11. http://dx.doi.org/10.22389/0016-7126-2023-1000-10-2-11.

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Active development of digital cameras and computer software has made close-range photogrammetry an extremely popular way to solve various engineering tasks, in particular, to control deformations of constructions and mining objects. Automated measurement of tie points enables reviving traditional techniques of deformation measurement through single shot photogrammetric approach (a zero basis, pseudo parallaxes) at a qualitatively new level. The paper deals with the contour mapping equal displacement method adaptation offered by the first author in the 1970s for processing in Agisoft Metashape. It is proposed to create a virtual basis for two single multi-temporal images by adding a matrix of empty pixels to them. This enables processing those as stereo pair, building virtual point clouds and altitude matrices. In order to test the technique, the authors considered the deflection deformation of various objects under lab conditions and shot their photos with a non-metric camera before and after loading. The obtained images were processed in Metashape, and then the above products were created and contours of equal deformations were plotted. It was found out that the accuracy of displacement value estimation with this method exceeds the spatial resolution of the images more than three times. The technology is applicable for objects deformations monitoring shifting mainly in a single plane, in future it is planned to test it in field at studying slope processes
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Pinatik, Noversa Yafet, and Frederik Samuel Papilaya. "PENGOLAHAN FOTO UDARA UAV (UNMANNED AERIAL VEHICLE) MENGGUNAKAN SOFTWARE AGISOFT METASHAPE." JURNAL PERANGKAT LUNAK 6, no. 1 (2024): 1–11. http://dx.doi.org/10.32520/jupel.v6i1.2838.

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This research aims to explain the method of utilizing UAV (Unmanned Aerial Vehicle) for aerial data photography and processing of UAV aerial photos using Agisoft Metashape software. In this context, the author will discuss the key steps in data processing, including aerial photo preprocessing, 3D model generation, digital elevation model (DEM) extraction, orthomosaic extraction, and the provision of processing information from the aerial photo data. The research flow is structured in a series of steps, encompassing all stages performed during the research process, allowing for a clear direction of the research's progression. The final results, in the form of DEM and orthomosaic, hold significant value in mapping and geospatial analysis. This research is expected to enhance the understanding of UAV usage in surveying and mapping, enabling broader applications in various sectors. Careful supervision and control of UAV flights are highly emphasized to ensure data quality. The use of UAVs and Agisoft Metashape opens up new opportunities for accurate, efficient, and effective surveying and mapping.
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Tinkham, Wade T., and George A. Woolsey. "Influence of Structure from Motion Algorithm Parameters on Metrics for Individual Tree Detection Accuracy and Precision." Remote Sensing 16, no. 20 (2024): 3844. http://dx.doi.org/10.3390/rs16203844.

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Uncrewed aerial system (UAS) structure from motion (SfM) monitoring strategies for individual trees has rapidly expanded in the early 21st century. It has become common for studies to report accuracies for individual tree heights and DBH, along with stand density metrics. This study evaluates individual tree detection and stand basal area accuracy and precision in five ponderosa pine sites against the range of SfM parameters in the Agisoft Metashape, Pix4DMapper, and OpenDroneMap algorithms. The study is designed to frame UAS-SfM individual tree monitoring accuracy in the context of data processing and storage demands as a function of SfM algorithm parameter levels. Results show that when SfM algorithms are properly tuned, differences between software types are negligible, with Metashape providing a median F-score improvement over OpenDroneMap of 0.02 and PIX4DMapper of 0.06. However, tree extraction performance varied greatly across algorithm parameters, with the greatest extraction rates typically coming from parameters causing increased density in dense point clouds and minimal point cloud filtering. Transferring UAS-SfM forest monitoring into management will require tradeoffs between accuracy and efficiency. Our analysis shows that a one-step reduction in dense point cloud quality saves 77–86% in point cloud processing time without decreasing tree extraction (F-score) or basal area precision using Metashape and PIX4DMapper but the same parameter change for OpenDroneMap caused a ~5% loss in precision. Providing reproducible processing strategies is a vital step in successfully transferring these technologies into usage as management tools.
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Kostrzewa, Adam, Anna Płatek-Żak, Przemysław Banat, and Łukasz Wilk. "Open-Source vs. Commercial Photogrammetry: Comparing Accuracy and Efficiency of OpenDroneMap and Agisoft Metashape." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-1/W4-2025 (June 16, 2025): 65–72. https://doi.org/10.5194/isprs-archives-xlviii-1-w4-2025-65-2025.

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Abstract. The rapid advancement of drones and autonomous platforms has significantly enhanced the capabilities of aerial data acquisition. Drones, equipped with cameras, are now widely used in fields such as surveying, mapping, agriculture, or infrastructure inspections. The effectiveness of UAV (Unmanned Aerial Vehicle) platforms depends on factors such as data acquisition, software selection, and processing parameters, all of which influence the resulting products like orthomosaics and digital elevation models (DEMs). Both commercial and open-source software can process UAV data, each with its strengths and weaknesses. Commercial software typically offers higher accuracy but comes at a high cost, while open-source solutions provide a free alternative, though they are less intuitive for some users. OpenDroneMap (ODM), open-source software, offers similar functionalities to popular commercial options, enabling the generation of point clouds, DEMs, and mesh models using advanced algorithms like Multi-View Stereo (MVS) and Poisson surface reconstruction. On the other hand, Agisoft Metashape, a commercial software, is known for its user-friendly interface and comprehensive capabilities, making it popular for aerial imagery applications. In this paper, a comparison between ODM and Agisoft Metashape was conducted, focusing on their algorithms and processing performance. The results emphasize differences in camera calibration accuracy and data orientation. The study examined results from datasets acquired under various conditions. The findings revealed that ODM produces comparable results to Agisoft Metashape, the choice between the two depends on user requirements and specific project needs.
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Rifai, Andri Irfan, Hikmawati Thalib, Muhamad Isradi, and Joewono Prasetijo. "Implementation of Building Information Modelling for Road Rehabilitation and Reconstruction Project: Liquefaction Disaster of Palu Area." IJEBD (International Journal of Entrepreneurship and Business Development) 5, no. 4 (2022): 781–91. http://dx.doi.org/10.29138/ijebd.v5i4.1914.

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Purpose: Utilization of Building Information Modeling (BIM) is believed to improve planning accuracy, mitigate construction risks, and better plan the entire life cycle of infrastructure asset projects. The application of BIM technology in post-disaster management can combine GIS technology (Geographic Information System) with BIM technology itself, or commonly referred to as geospatial BIM. The purpose of this paper is to apply BIM technology, explain the stages of road planning and modeling with BIM, and identify the advantages of using BIM compared to conventional methods. The road planning location is the location of the Jono Oge liquefaction disaster, Palu, Indonesia.
 Design/methodology/approach: Data collection, data processing with Agisoft Metashape, DEM data input, and orthophoto image data processed by Agisoft Metashape to Autodesk® InfraWorks®, road planning with Autodesk® InfraWorks®, road planning model output and field data presentation. 3D models, IMX format files, FGDB format files, and animation videos.
 Findings: The application of BIM technology in planning and modeling road projects at liquefaction locations can be made using Agisoft Metashape software to process aerial photo data taken using drones and using Autodesk® InfraWorks® software for planning and modeling of the road.
 Research limitations/implications: Modeling Road design in the application of BIM and the use of Autodesk® InfraWorks® applications on the project. We are not modeling the pavement, just visualizing the geometry of the road.
 Practical implications: BIM implementation can drive time, effort, and realistic 3D visualization.
 Originality/value: Original paper
 Paper type: A case study
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Nedobitkov, A. I. "Digital transport traseology based on Agisoft Metashape and unmanned aerial vehicle." Russian Automobile and Highway Industry Journal 19, no. 6 (2023): 890–99. http://dx.doi.org/10.26518/2071-7296-2022-19-6-890-899.

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Introduction. A vehicle and trace evidence analysis is one of the most requested types of examinations performed within the framework of criminal cases on road traffic accidents. The main methodical guidelines for traffic and trace evidence analyses were developed in the past century, while nowadays the fourth industrial revolution is on the rise. The industrial revolution is based on computer and information technologies, various software and hardware tools. Hence there is a vital necessity in update of the vehicle and trace evidence analysis methodology in order to conform to current-day realities.Materials and methods. Results of use of the unmanned aerial vehicle and Agisoft Metashape software are presented in the article in the context of specific road traffic accidents. It was made clear that application of this method has the following advantages: firstly, time of fixation of objects of the roadway network, vehicles and their traces on traffic ways is significantly reduced; secondly, fixation accuracy is improved; thirdly, use of the method makes it possible to establish all actual facts needed to perform analysis of the mechanism of a road traffic accident. Digital models obtained using this method could be used for 3D modeling, what offers an opportunity for more accurate determination of a mode and an angle of approach of vehicles before an accident with significant reduction of financial and time expenditures.Results. It was shown that digital models of road traffic accident sites and vehicles could be entered into the case file in general as well as into an expert’s statement in particular. Such entering will improve objectivity and believability of the conducted examination. Digital models of road traffic accident sites (digital twins) could be stored for an indefinitely long time and could contain the entire information on physical accident scene. Therefore such digital models are considered as valuable information while performing additional or repeated examinations.Conclusion. The proposed method for creating a digital model of a vehicle or a site of a traffic accident can be used in digital transport traceology.
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Сатбергенова, А. К., А. А. Калдыбаев, М. Б. Игемберлина та Д. С. Ожигин. "Қарағанды қаласының өңделген аумағында жер бетінің жағдайына аэроғарыштық мониторингін жасау". Горный журнал Казахстана, № 3(227) (10 квітня 2024): 25–32. http://dx.doi.org/10.48498/minmag.2024.227.3.004.

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В настоящей работе приведены результаты мониторинга состояния подработанной территории района шахты им. А. Костенко на основе архивных спутниковых радарных данных Sentinel-1B. Обработка производилась в программе SNAP 134 пар радарных снимков за период с 2018 по 2021 годы. Был проведен анализ полученных интерферограмм с целью определения участков, подверженных деформациям, для выполнения аэрофотосъемки с помощью квадрокоптера DJI Mavic 2 Pro. В данной работе выполнено планирование и аэрофотосъемка выявленного участка с учетом требований к размеру, качеству и взаимному расположению фотографий. В результате обработки в программном обеспечении Agisoft Metashape получены ортофотоплан, цифровая модель местности и трехмерная модель местности Бұл жұмыста Sentinel-1B архивтік спутниктік радиолокациялық деректер негізінде А. Костенко атындағы кен орны аумағындағы жерасты жұмыстары жүргізілген жер аймағының жай-күйіне мониторинг нәтижелері көрсетілген. SNAP бағдарламасында 2018-2021 жылдар аралығында 134 жұп радиолокациялық түсірілімді өңдеу жүргізілді. DJI Mavic 2 Pro квадракоптерінің көмегімен аэрофототүсірілім жасау үшін деформацияға ұшыраған аймақтарды анықтау мақсатында алынған интерферограммаларға талдау жүргізілді. Бұл жұмыста фотосуреттердің мөлшеріне, сапасына және өзара орналасуына қойылатын талаптарды ескере отырып, анықталған учаскені жоспарлау және аэрофототүсірілім жасалды. Agisoft Metashape бағдарламалық жасақтамасында өңдеу нәтижесінде ортофотоплан, рельефтің цифрлық моделі және рельефтің үш өлшемді моделі алынды This paper presents the results of monitoring the condition of the undermined area of the A. Kostenko mine based on archived Sentinel-1B satellite radar data. The SNAP program processed 134 pairs of radar images for the period from 2018 to 2021. The analysis of the obtained interferograms was carried out to determine the areas that subject to deformations for aerial photography using the DJI Mavic 2 Pro quadcopter. In this work, planning and aerial photography of the identified area has been carried out, considering the requirements for the size, quality and relative location of photographs. As a result of processing in the Agisoft Metashape software, an orthophotoplan, a digital terrain model and a three-dimensional terrain model were obtained
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Silva, Ana Paula Monteiro da, Mariana Gabetto da Silva, Afonso de Paula dos Santos, et al. "Uso de Diferentes Softwares de Processamento de Dados Obtidos a Partir de RPA (Aeronave Remotamente Pilotada)." Revista Brasileira de Geografia Física 17, no. 3 (2024): 1754–17676. http://dx.doi.org/10.26848/rbgf.v17.3.p1754-17676.

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Esse estudo visou o uso de diferentes softwares de processamento de dados, em ortofotos obtidos por RPA, para a aplicação dos procedimentos contidos na ET-CQDG e no Decreto n° 89.817 de avaliação da qualidade posicional. Os softwares escolhidos para análise foram o Mappa, DroneDeploy e Agisoft Metashape. Os resultados encontrados colaboraram para o entendimento do tipo de produto gerado por cada software, bem como análise da qualidade fornecida via aspectos visuais e aplicação das normas e decretos. O software Agisoft Metashape foi classificado, tanto na planimetria quanto na e altimetria, na classe “Classe A” no PEC-PCD, acurado para a escala de 1:2.000 e curvas de nível de 1 metro. Já o software DroneDeploy obteve-se a classe B para escala 1:5000 e curvas de nível de 50 metros no PEC-PCD, porém não acurado tanto para planimetria quanto altimetria. Já o software Mappa o produto ficou abaixo do esperado, portanto não classificado na PEC-PCD. A partir destes resultados pode-se avaliar qual tipo de produto foi gerado, sua qualidade e tipo de serviço possível de uso.
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Yoshida, Daichi, and Takuhiko Murakami. "How to create an orthomosaic image from analog aerial photographs using Metashape." Japanese Journal of Forest Planning 56, no. 2 (2023): 57–62. http://dx.doi.org/10.20659/jjfp.56.2_57.

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Adieva, G., A. Satybaev, Zh Turdubaeva, and M. Ablazizov. "Simulation of the Landslide Process on the Territory of Zhalpak-Tash (Kyzyl-Kungoi Site) for Analysis by GIS Technologies." Bulletin of Science and Practice, no. 7 (July 15, 2023): 91–98. http://dx.doi.org/10.33619/2414-2948/92/14.

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In this work, the landslide process of the area was studied, a digital model of the study area was developed using geographic information systems. Based on the constructed digital model, an analysis of the landslide was made, a three-dimensional model of the area was built in the Agisoft Metashape program. The steepness of the slopes was studied using the 3D Analyst Tools of the ArcGIS program.
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Schukina, Olga, Maksud Abdukarimov, and Albina Valieva. "Creating a 3D terrain model for the territory of the Hasti-Imom ensemble in Tashkent, Uzbekistan." E3S Web of Conferences 497 (2024): 02024. http://dx.doi.org/10.1051/e3sconf/202449702024.

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The purpose of this work is to create a three-dimensional model of the terrain on the territory of the Hasti-Imam ensemble of the city of Tashkent (Uzbekistan), using a Geoscan 401 multi-rotor unmanned aerial vehicle and a modern photogrammetric product Agisoft Metashape. Four flights were performed at this facility using a Geoscan 401 quadcopter. Aerial photography was carried out at different heights (from 40 m to 100 m) and with different inclinations of the aerial camera (45°, 60°, 90°) in order to display all elements of the ensemble in more detail. Aerial photography was carried out at a scale of 1:500 using a SonyDSC-RX1 digital aerial camera with a focal length of 50 mm. The longitudinal overlap of aerial photographs was from 70% to 80% and, accordingly, the transverse overlap was also from 70% to 80%. The number of aerial photographs at the site was 936 pieces. The length of all air routes was 65.9 km. The area of the filmed object was 14 hectares.The processing of unmanned aerial photography and the construction of a three-dimensional model of the terrain on the territory of the Hasti-Imam ensemble in Tashkent, Uzbekistan was carried out in the modern photogrammetric complex Agisoft Metashape.
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Akulova, Elena, Aleksandr Alybaev, and Daria Buzina. "Automation of the process of reverse engineering of urban development projects based on the results of aerial photographic operations." E3S Web of Conferences 177 (2020): 02003. http://dx.doi.org/10.1051/e3sconf/202017702003.

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3D models of objects of urban development, created by the results of aerial photographic operations or laser scanning, have high metric accuracy, but require significant labor costs, both in terms of creation and visualization. To construct three-dimensional models that allow the user to perceive information in the usual spatial form, and satisfying the accuracy requirements for solving urban planning problems, it is proposed to automate the reverse engineering process based on the Metashape and ContextCapture software products.
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Stankijević, Emilija, та Željko Santoši. "PRIMENA REVERZIBILNOG INŽENЈERSKOG DIZAJNA KOD IZRADE REPLIKA EKSPONATA IZ “MUZEJA AFRIČKE UMETNOSTI”". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 39, № 05 (2024): 570–73. http://dx.doi.org/10.24867/26gi05stankijevic.

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U okviru ovog rada je prikazana studija slučaja u okviru koje je izrađen 3D model po uzoru na predmet iz ,,Muzeja afričke umetnosti'' u Beogradu. 3D digitalizacija muzejskog predemta je izvršena tehnikom fotogrametrije, upotrebom fotoaparata Canon EOS 1200D, nakon čega je dobijen površinski 3D mdoel. Obradom istog u softveru Agisoft Metashape je pripremljen model za 3D štampu na štampaču Ultimaker S5, u njegovoj realnoj veličini i u jednobojnom filamentu, kako je namenjen za taktilnu svrhu u muzeju.
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Aicardi, I., A. Lingua, L. Mazzara, M. A. Musci, and G. Rizzo. "ICE DETECTION ON AIRPLANE WINGS USING A PHOTOGRAMMETRIC POINT CLOUD: A SIMULATION." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2020 (August 12, 2020): 183–89. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2020-183-2020.

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Abstract. This study describes some tests carried out, within the European project (reference call: MANUNET III 2018, project code: MNET18/ICT-3438) called SEI (Spectral Evidence of ice), for the geometrical ice detection on airplane wings. The purpose of these analysis is to estimate thickness and shape of the ice that an RGB sensor is able to detect on large aircrafts as Boeing 737-800. However, field testing are not available yet, therefore, in order to simulate the final configuration, a steel panel has been used to reproduce the aircraft surface. The adopted methodology consists in defining a reference surface and modelling its 3D shape with and without ice through photogrammetric acquisitions collected by a DJI Mavic Air drone hosting a RGB camera and processed by Agisoft Metashape software. The comparison among models with and without the ice has been presented and results show that it is possible to identify the ice, even though some noise still remains due to the geometric reconstruction itself. Finally, using 3dReshaper and Matlab software, the authors develop various analysis defining the operative limits, the processing time, the correct setting up of Metashape for a more accurate ice detection, the optimization of the methodology in terms of processing time, precision and completeness. The procedure can certainly be more reliable considering the usage of the hyperspectral sensor technique as future implementation.
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Niyazgulov, U. D., F. H. Niyazgulov, and A. V. Krivous. "Investigation of the accuracy of determining the geometry of the railway track using digital images." Herald of the Ural State University of Railway Transport, no. 1 (2021): 55–61. http://dx.doi.org/10.20291/2079-0392-2021-1-55-61.

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Digital infrastructure as an element of the «Digital Railway» of JSC «Russian Railways» involves the provision of objective, complete and up-to-date information about infrastructure facilities in digital form to solve a wide range of tasks - from engineering surveys carried out as part of the construction, repair and reconstruction of railway infrastructure facilities to the operation of autonomous (unmanned) rolling stock. One of the methods of obtaining such information is digital photogrammetry. At the same time, the highest measurement accuracy is required when determining the geometry of the railway track. When determining the geometry of the railway track with high accuracy through digital images, it becomes necessary to take into account not only the parameters of aerial photography and the quality of digital images, but also the features of image processing programs. The article presents the results of experimental studies of the accuracy of determining the geometry of the railway track using digital images as a result of processing them on the digital photogrammetric systems (DFS) PHOTOMOD and Agisoft Metashape (PhotoScan). The technical characteristics (CFS) of PHOTOMOD and Agisoft Metashape (PhotoScan) are given, the goals, objectives and content of the experimental studies performed are considered, the features of the experimental object, the characteristics of the aerial survey equipment and the methods of control determinations are described.
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Liang, Yubin, Yang Yang, Xiaochang Fan, and Tiejun Cui. "Efficient and Accurate Hierarchical SfM Based on Adaptive Track Selection for Large-Scale Oblique Images." Remote Sensing 15, no. 5 (2023): 1374. http://dx.doi.org/10.3390/rs15051374.

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Image-based 3D modeling has been widely used in many areas. Structure from motion is the key to image-based reconstruction. However, the rapid growth of data poses challenges to current SfM solutions. A hierarchical SfM reconstruction methodology for large-scale oblique images is proposed. Firstly, match pairs are selected using positioning and orientation (POS) data and the terrain of the survey area. Then, images are divided to image groups by traversing the selected match pairs. After pairwise image matching, tracks are decimated using an adaptive track selection method. Thirdly, submaps are reconstructed from the image groups in parallel based on incremental SfM in the object space. A novel method based on statistics of the positional difference between common tracks is proposed to detect the outliers in submap merging. Finally, the reconstructed submaps are incrementally merged and optimized. The proposed methodology was used on a large oblique image set. The proposed methodology was compared with the state-of-the-art image-based reconstruction systems COLMAP and Metashape for SfM reconstruction. Experimental results show that the proposed methodology achieved the highest accuracy on the experimental dataset, i.e., about 22.37, and 3.52 times faster than COLMAP and Metashape, respectively. The experimental results demonstrate that the proposed hierarchical SfM methodology is accurate and efficient for large-scale oblique images.
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Mamazhakypova, G., and G. Baiyshbekkyzy. "Joint Processing of Aerospace and Ground Surveying Materials to Create 3D Terrain Models." Bulletin of Science and Practice 10, no. 5 (2024): 134–39. http://dx.doi.org/10.33619/2414-2948/102/17.

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Methods for creating three-dimensional terrain models based on aerospace and ground survey data is an important direction in the field of geographic information technologies. This article presents a detailed analysis of the process of developing and implementing an automated approach to creating 3D terrain models using Agisoft Metashape and ArcGIS software. The presented method can significantly reduce the time and human resources required to create 3D models, as well as increase the accuracy and reliability of the results obtained.
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Nelwan, Evander, Kawilarang W. A. Masengi, Vivanda O. J. Modaso, et al. "Rekonstruksi bentuk lambung kapal dalam format tiga dimensi (3D) dengan teknik fotogrametri." JURNAL ILMU DAN TEKNOLOGI PERIKANAN TANGKAP 9, no. 1 (2024): 40–46. http://dx.doi.org/10.35800/jitpt.9.1.2024.45751.

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Fishing boat has unique characteristics, such as seaworthiness, maneuvering, boat’s velocity, displacement, fishing gear layout, and catch storage facilities. With increasing development of photographic technology, photography is not merely an art but it has become a field of mathematics, making it a technique that can be integrated with software technology designed to produce digital data objects in the form of 3D images called Photogrammetric technique. This study is to obtain the reconstruction of the boat's hull based on the Photogrammetric software, to determine the effect of photography to obtain a 3D image, and to know the weakness and strength of 3D reconstruction of the boat’s hull. The images in this study were obtained using a POCO F3 smartphone camera integrated with the PIX4Dcatch application and analyzed with Agisoft Metashape Professional (Trial Version). From this research, we concluded that 1) the reconstruction of the boat hull can be obtained by using Photogrammetric techniques in the PIX4Dcatch application followed by the Agisoft Metashape Professional (Trial Ver.) software analysis; 2). With photographic equipment and several data processing software, the boat’s shape could be produced in 3D images, and 3). There are several advantages in reconstructing the ship's hull with the Photogrammetric technique, namely producing the ship's reconstruction of 3D images, obtaining the principal dimensions of the boat, such as the area and volume of the boat, that could be as the basic data for boat resistance and ship stability calculation, and the work could be done by one person only.
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Paryanto, P., Muhammad Faizin, and R. Rusnaldy. "Parametric Optimization of Train Brake Pad Using Reverse Engineering with Digital Photogrammetry 3D Modeling Method." Eng 6, no. 5 (2025): 96. https://doi.org/10.3390/eng6050096.

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Reverse engineering (RE) is essential in recreating 3D models of existing manufactured parts. It is widely used for repairing damaged components, improving used parts, and designing new items based on older models. One of the most common methods in RE is photogrammetry, which enables 3D reconstruction by capturing multiple images. Therefore, this study aimed to explore the application of mobile photogrammetry to obtain a 3D model of a train brake pad. The process started with capturing images of objects in a quick and professional manner to ensure visualization of data. This was followed by processing 2D images using Agisoft Metashape 2.2.1 software and Artificial Intelligence (AI) algorithms to create a precise 3D model. Subsequently, assessment was performed using feasibility in terms of cost, time, and accuracy. The results show that mobile photogrammetry provided an accessible and cost-effective method, alongside maximum contact stress after reducing optimization by approximately 28.42%, with maximum error value measured by the virtual model with the reference value of 0.30 mm (on Metashape) and 0.46 mm (on AI). This suggested that reverse parameterization significantly accelerated computer-aided design (CAD) model reconstruction and reduced the part redesign development cycle. By using photogrammetry and parametric modeling, engineers could accurately analyze and optimize train brake pads, ensuring safety as well as sustainability in railway operations. Additionally, RE and parametric modeling could assist in creating durable, cost-effective alternatives, and predicting appropriate replacements.
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Putu Sukrana, I Gede Yudi Wisnawa, and I Wayan Krisna Eka Putra. "Perbandingan Hasil Mozaik Foto Udara Menggunakan Aplikasi Desktop Agisoft Metashape dengan Aplikasi Cloud Computing Dronedeploy." Jurnal ENMAP 4, no. 1 (2023): 27–32. http://dx.doi.org/10.23887/enmap.v4i1.62012.

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Agisoft merupakan software yang berbasis aplikasi desktop, sedangkan Dronedeploy merupakan software berbasis cloud computing. Hasil mozaik foto udara yang lebih akurat dari kedua software tersebut perlu dipastikan. Penelitian ini bertujan untuk mengetahu software yang lebih akurat dari hasil mozaik foto udara. Metode pada penelitian ini yaitu membandingkan waktu pemrosesan, biaya yang diperlukan, akurasi jarak, dan visual hasil mozaik foto udara. Hasil penelitian ini yaitu tahapan pengolahan foto udara menggunakan Agisoft melalui enam tahapan. Dronedeploy memiliki tahapan lebih simpel, melalui tiga tahapan saja. Perbandingan akurasi jarak mozaik foto udara Dronedeploy lebih ungggul dengan akurasi 97,44% sampai 99,65%, perbandingan waktu pemerosesan Dronedeploy lebih cepat dengan selisih waktu 34 menit, biaya Agisoft lebih murah dengan selisih biaya Rp 30.000, perbandingan visual hasil mozaik foto udara Dronedeploy lebih unggul dengan pinggiran atap rumah lebih rapi
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Mohren, Joel, and Maximilian Schulze. "Automated cleaning of tie point clouds following USGS guidelines in Agisoft Metashape professional (ver. 2.1.0)." MethodsX 12 (June 2024): 102679. http://dx.doi.org/10.1016/j.mex.2024.102679.

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Hinojosa Niquén, Yahaira Anabel, Yamira Anabelle Hinojosa Niquén, Katherine del Pilar Niquén Tineo, and Maria Isabel Niquen Inga. "Determinación de la cobertura vegetal en el santuario nacional los Manglares de Tumbes utilizando Sistema de Aeronaves pilotadas a distancia." RECIMUNDO 8, no. 2 (2024): 478–92. http://dx.doi.org/10.26820/recimundo/8.(2).abril.2024.478-492.

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En la presente investigación se obtiene información actualizada, dato real de la superficie manglares constituyentes del sistema terrestre y marino Tumbesino, importante en la función ecológica que tiene que ver con los cambios globales, deforestación, actividades socioeconómicas y otras desarrolladas en la zona; teniendo como objetivo determinar de la cobertura vegetal del Santuario Nacional los Manglares de Tumbes utilizando un Sistema de Aeronaves Pilotadas a Distancia; para ello se dispuso de dos Receptores GPS Geodésicos ubicándose el área de recuperación LAN Zarumilla-Tumbes en el interior del Santuario, se realiza la planificación del vuelo fotogramétrico en 100.00 has y se localiza aquí 4.20 Has para la determinación de la cobertura vegetal, realizándose el vuelo fotogramétrico con el uso del drone Mavic 2; indicando que con el programa Agisoft Metashape, se ha obtenido el OrtoMosaico del Proyecto, Área obtenida y luego procesados con los programas Global Mapper y Autocad Civil 3D, obteniendo 457 imágenes al programa para su proceso. Con el ortomosaico mediante el software Agisoft Metashape y Arcgis 10.8 se obtuvo cada tipo de cobertura con 2875 individuos en un área de evaluación de 4.20 Has. Se identificaron 4 especie de manglar: rojo, negro, blanco y colorado. La interpretación de los mapas se realizó con el software ARCGIS 10.8 y obteniéndose la cobertura vegetal indicada, predominando con el 78.3% el mangle negro del total de individuos clasificados. Así mismos el Índice de vegetación Diferenciado Normalizado (NDVI) varía entre 0.005 (cuerpo de agua) con 10.50 Has. Hasta 0.6 (Bosque Manglar Maduro) con 52 has (52%) del área en estudio.
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Данилова, Лада, Николай Рашевский, Сергей Рекунов, Ярослав Трудов та Александр Гуртяков. "Классификация плотного облака точек при моделировании рельефа". SCIENTIFIC JOURNAL “ACADEMIA. ARCHITECTURE AND CONSTRUCTION, № 3 (30 вересня 2024): 76–81. http://dx.doi.org/10.22337/2077-9038-2024-3-76-81.

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В статье рассмотрены существующие алгоритмы классификации элементов модели поверхности. Приведён порядок действия для фотограмметрической обработки снимков беспилотных летательных аппаратов. Описано оборудование, необходимое при подготовке исходных материалов аэрофотосъёмки для фотограмметрии. Представлены особенности обработки данных, полу­ченных с беспилотных летательных аппаратов, с использованием программного комплекса «Agisoft Metashape». Предложен новый подход к классификации элементов модели поверхности и группировки однотипных элементов в отдельные слои плотного облака точек, а также проанализирована возможность построения достоверной цифровой модели рельефа по материалам аэрофотосъемки полностью в автоматическом режиме. Подведены итоги проведённой работы по связке «геодезия - генплан - здание» и выявлены положительные и проблемные стороны применения новых информационных технологий в проектировании.
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Roziqin, Arif, Oktavianto Gustin, Rizki Widi Pratama, et al. "Rekonstruksi Model 3D Menggunakan Foto Udara untuk Visualisasi Kawasan Pesisir Sembulang Kota Batam." Prosiding Industrial Research Workshop and National Seminar 13, no. 01 (2022): 889–98. http://dx.doi.org/10.35313/irwns.v13i01.4183.

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Salah satu bidang pemanfaatan fotogrametri adalah fotogrametri jarak dekat. Fotogrametri jarak dekat dapat digunakan untuk keperluan merekam objek yang berada di bawah 100 meter. Fotogrametri close-up umumnya digunakan dalam demonstrasi 3D dari struktur, kendaraan atau ekstensi. Fotogrametri jarak dekat digunakan untuk menampilkan 3D Kawasan Pesisir Sembulang Kota Batam. Kamera yang digunakan harus melalui interaksi penyelarasan untuk menentukan batas bagian dalam kamera. Siklus penyesuaian dan penanganan informasi pada tugas terakhir ini menggunakan program Agisoft Metashape Professional v. 1.7.6 build 13524. Tahap menampilkan struktur terdiri dari stamping dan mengacu, mengerjakan dan membuat model 3D, mengubah susunan 3D dan menggambar model 3D.
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Howland, Matthew D., Anthony Tamberino, Ioannis Liritzis, and Thomas E. Levy. "Digital Deforestation: Comparing Automated Approaches to the Production of Digital Terrain Models (DTMs) in Agisoft Metashape." Quaternary 5, no. 1 (2022): 5. http://dx.doi.org/10.3390/quat5010005.

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This paper tests the suitability of automated point cloud classification tools provided by the popular image-based modeling (IBM) software package Agisoft Metashape for the generation of digital terrain models (DTMs) at moderately-vegetated archaeological sites. DTMs are often required for various forms of archaeological mapping and analysis. The suite of tools provided by Agisoft are relatively user-friendly as compared to many point cloud classification algorithms and do not require the use of additional software. Based on a case study from the Mycenaean site of Kastrouli, Greece, the mostly-automated, geometric classification tool “Classify Ground Points” provides the best results and produces a quality DTM that is sufficient for mapping and analysis. Each of the methods tested in this paper can likely be improved through manual editing of point cloud classification.
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Dascăl, A., and M. Popa. "Possibilities of 3D reconstruction of the vehicle collision scene in the photogrammetric environment Agisoft Metashape 1.6.2." Journal of Physics: Conference Series 1781, no. 1 (2021): 012053. http://dx.doi.org/10.1088/1742-6596/1781/1/012053.

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Qureshi, A. H., W. S. Alaloul, A. Murtiyoso, S. Saad, and B. Manzoor. "COMPARISON OF PHOTOGRAMMETRY TOOLS CONSIDERING REBAR PROGRESS RECOGNITION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLIII-B2-2022 (May 30, 2022): 141–46. http://dx.doi.org/10.5194/isprs-archives-xliii-b2-2022-141-2022.

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Abstract. Construction progress monitoring is an important process throughout the project timeline towards its successful completion. Among imaging techniques, photogrammetry is considered as economical and effective method. However, few studies can be found on construction progress monitoring via photogrammetry; thus, not much guideline is available for this domain. This study evaluated the photogrammetry tools for the progress assessment of the rebar grid framework. Photogrammetry tools were evaluated and analysed following defined criteria, and Agisoft Metashape, and 3DF Zephyr were identified as better options. This study aims to provide a guideline to construction industry professionals and stakeholders towards the adoption of photogrammetric progress assessment for construction activities.
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Мијић, Ђорђе. "ПРИМЕНА UAV ФОТОГРАМЕТРИЈЕ И КОНВЕНЦИОНАЛНИХ ГЕОДЕТСКИХ МЕТОДА ЗА ПОТРЕБЕ МАПИРАЊА ОБЈЕКТА У КИНЕСКОЈ ЧЕТВРТИ У НОВОМ САДУ". Zbornik radova Fakulteta tehničkih nauka u Novom Sadu 38, № 08 (2023): 1056–59. http://dx.doi.org/10.24867/23kg03mijic.

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У овом раду је описан поступак сни­мања и мапирања објекта који је у фази реконструк­ције, а за чије је потребе кориштено више геодетских метода премера, почевши од конвенционалних метода – мерење поларном методом уз помоћу тоталне станице Trimble M3 и мерење GNSS RТК (Global Navigation Sate­llite System - Real-Time Kinematic) методом инструмен­том Trimble R8 и употребном савремене методе пре­мера – UAV (Unmanned Aerial Vehicle) фотограметрије. Обрада података извршена је у софтверским пакетима Agisoft Metashape, где је рађена обрада података доби­јених фотограметријском методом и AutoCAD, који је кориштен за приказ вертикалног и хоризонталног одступања зидова на врху објекта представљених на ортофото-у који је генерисан из облака тачака.
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Cutugno, Matteo, Umberto Robustelli, and Giovanni Pugliano. "Structure-from-Motion 3D Reconstruction of the Historical Overpass Ponte della Cerra: A Comparison between MicMac® Open Source Software and Metashape®." Drones 6, no. 9 (2022): 242. http://dx.doi.org/10.3390/drones6090242.

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In recent years, the performance of free-and-open-source software (FOSS) for image processing has significantly increased. This trend, as well as technological advancements in the unmanned aerial vehicle (UAV) industry, have opened blue skies for both researchers and surveyors. In this study, we aimed to assess the quality of the sparse point cloud obtained with a consumer UAV and a FOSS. To achieve this goal, we also process the same image dataset with a commercial software package using its results as a term of comparison. Various analyses were conducted, such as the image residuals analysis, the statistical analysis of GCPs and CPs errors, the relative accuracy assessment, and the Cloud-to-Cloud distance comparison. A support survey was conducted to measure 16 markers identified on the object. In particular, 12 of these were used as ground control points to scale the 3D model, while the remaining 4 were used as check points to assess the quality of the scaling procedure by examining the residuals. Results indicate that the sparse clouds obtained are comparable. MicMac® has mean image residuals equal to 0.770 pixels while for Metashape® is 0.735 pixels. In addition, the 3D errors on control points are similar: the mean 3D error for MicMac® is equal to 0.037 m with a standard deviation of 0.017 m, whereas for Metashape®, it is 0.031 m with a standard deviation equal to 0.015 m. The present work represents a preliminary study: a comparison between software packages is something hard to achieve, given the secrecy of the commercial software and the theoretical differences between the approaches. This case study analyzes an object with extremely complex geometry; it is placed in an urban canyon where the GNSS support can not be exploited. In addition, the scenario changes continuously due to the vehicular traffic.
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Bartolomei, C., A. C. Benedetti, C. Morganti, and G. Predari. "PHOTOGRAMMETRY AS A METHOD FOR RETRIEVING GEOMETRICAL INFORMATION ON THE 20-TH CENTURY HERITAGE. THE AGIP COLONY IN CESENATICO." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W15 (August 20, 2019): 157–64. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w15-157-2019.

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<p><strong>Abstract.</strong> The aim of this research is the rediscovery of one of Giuseppe Vaccaro's architectural masterpieces thanks to the use of the contents obtained from the survey that was carried out, useful for its architectural representation; the selected building is the Agip colony, which is located on the beach of Cesenatico. The three-dimensional photogrammetry, a science that uses photography as a source of measurement, will be investigated as a method for graphic and metric representation, with the aim to study, in this particular case, the elements composing the facade of this architectural work of the '30s, through the last software born of the Agisoft family, Metashape.</p>
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Tinkham, Wade T., and Neal C. Swayze. "Influence of Agisoft Metashape Parameters on UAS Structure from Motion Individual Tree Detection from Canopy Height Models." Forests 12, no. 2 (2021): 250. http://dx.doi.org/10.3390/f12020250.

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Applications of unmanned aerial systems for forest monitoring are increasing and drive a need to understand how image processing workflows impact end-user products’ accuracy from tree detection methods. Increasing image overlap and making acquisitions at lower altitudes improve how structure from motion point clouds represents forest canopies. However, only limited testing has evaluated how image resolution and point cloud filtering impact the detection of individual tree locations and heights. We evaluate how Agisoft Metashape’s build dense cloud Quality (image resolution) and depth map filter settings influence tree detection from canopy height models in ponderosa pine forests. Finer resolution imagery with minimal filtering provided the best visual representation of vegetation detail for trees of all sizes. These same settings maximized tree detection F-score at >0.72 for overstory (>7 m tall) and >0.60 for understory trees. Additionally, overstory tree height bias and precision improve as image resolution becomes finer. Overstory and understory tree detection in open-canopy conifer systems might be optimized using the finest resolution imagery that computer hardware enables, while applying minimal point cloud filtering. The extended processing time and data storage demands of high-resolution imagery must be balanced against small reductions in tree detection performance when down-scaling image resolution to allow the processing of greater data extents.
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da Silva, Tiago van der Worp, Luísa Gomes Pereira, and Bruna R. F. Oliveira. "Assessing Geometric and Radiometric Accuracy of DJI P4 MS Imagery Processed with Agisoft Metashape for Shrubland Mapping." Remote Sensing 16, no. 24 (2024): 4633. https://doi.org/10.3390/rs16244633.

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The rise in inexpensive Unmanned Aerial Systems (UAS) and accessible processing software offers several advantages in forest ecosystem monitoring and management. The increase in usability of such tools can result in the simplification of workflows, potentially impacting the quality of the generated data. This study offers insights into the precision and reliability of the DJI Phantom 4 Multispectral (P4MS) UAS for mapping shrublands using the Agisoft Metashape (AM) for image processing. Geometric accuracy was evaluated using ground control points (GCPs) and different configurations. The best configuration was then used to produce orthomosaics. Subsequently, the orthomosaics were transformed into reflectance orthomosaics using various radiometric correction methods. These methods were further assessed using reference panels. The method producing the most accurate reflectance values was then chosen to create the final reflectance and Normalised Difference Vegetation Index (NDVI) maps. Radiometric accuracy was assessed through a multi-step process. Initially, precision was measured by comparing reflectance orthomosaics and NDVI derived from images taken on consecutive days. Finally, reliability was evaluated by comparing the NDVI with NDVI from a reference camera, the MicaSense Altum AL0, produced with images acquired on the same days. The results demonstrate that the P4MS is both precise and reliable for shrubland mapping. Reflectance maps and NDVI generated in AM exhibit acceptable geometric and radiometric accuracy when geometric calibration is performed with at least one GCP and radiometric calibration utilises images of reflectance panels captured at flight height, without relying on incident light sensor (ILS) data.
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Śledź, Szymon, and Marek W. Ewertowski. "Evaluation of the Influence of Processing Parameters in Structure-from-Motion Software on the Quality of Digital Elevation Models and Orthomosaics in the Context of Studies on Earth Surface Dynamics." Remote Sensing 14, no. 6 (2022): 1312. http://dx.doi.org/10.3390/rs14061312.

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The fully automated Structure-from-Motion approach for developing digital elevation models and orthomosaics has been known and used in photogrammetry for at least 15 years. Years of practice and experience have allowed researchers to provide a solid description of the applicability and limitations of this method. That being said, the impact of input processing parameters in software on the quality of photogrammetric products has yet to be fully ascertained empirically. This study is aimed at identifying the most advantageous processing workflow to fill this research gap by testing 375 different setup variations in the Agisoft Metashape software for the same set of images acquired using an unmanned aerial vehicle in a proglacial area. The purpose of the experiment was to determine three workflows: (1) the fastest, which has the shortest calculation time; (2) the best quality, which is as accurate as possible, regardless of the time taken for the calculations; and (3) the optimal, which is a compromise between accuracy and calculation time. Each of the 375 processing setup variations was assessed based on final product accuracy, i.e., orthomosaics and digital elevation models. The three workflows were selected based on calculating the height differences between the digital elevation models and the control points that did not participate in their georeferencing. The analyses of the root mean square errors (RMSE) and standard deviations indicate that excluding some of the optimization parameters during the camera optimization stage results in high RMSE and an increase in the values of standard deviation errors. Furthermore, it was shown that increasing the detail of individual processing steps in software does not always positively affect the accuracy of the resulting models. The experiment resulted in the development of three different workflows in the form of Python scripts for Agisoft Metashape software, which will help users to process image sets efficiently in the context of earth surface dynamics studies.
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Mohylnyi, Serhii, Dmytro Khainus, and Serhii Vynohradenko. "Analysis of the accuracy of cadastral surveys using UaVs." Ukrainian Journal of Applied Economics and Technology 9, no. 1 (2024): 146–51. http://dx.doi.org/10.36887/2415-8453-2024-1-24.

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This article is dedicated to analyzing the accuracy of cadastral surveys using uncrewed aerial vehicles (UAVs). It explores the efficiency and precision of surveys conducted with UAVs in the context of cadastral work. The article examines the methods and technologies used to ensure high accuracy of geospatial data in the cadastral field through UAVs. Utilizing cutting-edge technologies and analyzing research results, the article highlights the possibilities and limitations of UAV applications in cadastral surveys and land mapping tasks. The research findings can benefit geodesy, cartography, and cadastre professionals, as well as developers and operators of uncrewed aerial vehicles. This work investigates a network of phototriangulation conducted using uncrewed aerial vehicles (UAVs). Network parameters evaluated include the number of images, flight altitude, camera focal length, image size, pixel size, and coverage area. The images were processed using Agisoft Metashape Professional software. The main results of automatic image measurement are provided, including the number of tie points in the network, average ray intersection residuals, and random root mean square errors of ground points. The work shows that the provided accuracy characteristics need to provide more information for a reliable assessment of results. Despite optimistic results, the accuracy distribution may need to be improved for confident cadastral data quality. A modernized software complex for phototriangulation calculation, BlockMSG, was used for a more detailed assessment. It is noted that the calculation results correspond to all initial data of the Agisoft Metashape program but without additional information and analysis of possible errors. The paper also discusses the importance of measurement accuracy and its impact on creating a 3D cadastre. Data on the distribution of linear errors of points are presented, indicating the importance of choosing the number of images to obtain accurate coordinates. The primary focus is the need for a thorough analysis of results and possible error sources to ensure high-quality cadastral data. Keywords: accuracy, cadastral surveys, unmanned aerial vehicles (UAVs), geodetic methods, geospatial data, analysis.
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Xiao, Teng, Qi Hu, Junhua Kang, Qi Zhang, Zhiwei Ye, and Fei Deng. "A Global Image Orientation Method of the Self-Rotating Pan-Tilt-Zoom Camera for Photogrammetric Applications." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W7-2024 (December 13, 2024): 177–82. https://doi.org/10.5194/isprs-archives-xlviii-2-w7-2024-177-2024.

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Abstract. Pan-tilt-zoom (PTZ) cameras are widely used in surveillance systems due to their wide field of view and high resolutions. However, the lack of accurate orientation information limits their full utilization in photogrammetry. Therefore, for photogrammetric applications, the primary task for PTZ cameras is to achieve image orientation. Cameras mounted on gimbals can only self-rotate around the base, resulting in acquired images that are nearly purely rotated. Current conventional structure from motion (SfM) pipelines assume pixel parallax exists between matching correspondences and generate object points through 3D triangulation. Applying these methods to estimate the interior and exterior orientation parameters of images from a self-rotating PTZ camera is challenging. To address this issue, this paper employs the concept of global SfM and proposes an improved global image orientation method for the pure rotation motion of PTZ cameras. Initially, a subset of image pairs is selected for internal orientation, and the internal orientation parameters of the images are estimated. Subsequently, global external orientation is performed on all images to estimate their external orientation parameters. Finally, bundle adjustment of the collinearity equation without object points optimizes both the internal and external orientation parameters. Experiments on synthetic and real-scene datasets demonstrate the practicality and accuracy of this method. For synthetic datasets, the estimated focal length of our method deviates from the true value by within 1 pixel, and the mean location error of the principal points is 0.93 pixels. For real-scene datasets, the mean reprojection error of the checkpoints of our method is 2.72 pixels, with a maximum of 4.66 pixels. In contrast, Agisoft Metashape's mean reprojection error is 4.73 pixels, with a maximum reaching 8.06 pixels. This shows that our method can accurately determine the image orientation parameters of PTZ cameras and achieve higher accuracy compared to the popular commercial software Agisoft Metashape.
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Adi, Wahyu Tamtomo, Adya Aghastya, Nanda Ahda Imron, Nurul Fitria Apriliani, Izza Anwer, and Porntep Puangprakhon. "Comparison of UAV Drone and Online Terrain Model for Railway Route Planning." Journal of Railway Transportation and Technology 1, no. 1 (2022): 20–27. http://dx.doi.org/10.37367/jrtt.v1i1.6.

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This research tried to compare Digital Elevation Model (DEM) results from UAV Drone Survey with online DEM with a study case a railway route planning from Semarang to Demak in Central Jawa. The terrain model was resulted by Agisoft Metashape software and was compared to DEM from GoogleEarth, BING, SRTM, ASTERGDEM and DEMNAS by using Global Mapper sofware. The comparison was conducted by generating contour drawing for each model, along with graphical and statistical analysis. The results shown that the DEM Model from UAV Drone Survey result can meet the standard accurcy needed. The result of comparison from other the online DEM resulted that DEMNAS and ASTER GDEM have the stronges correlation among other DEM resources. The finding suggested for a carefull consideration to use open source DEM Data for perelyminary design odr Detail Engineering Design, especially for railway infrastructure project.
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Silva, Luciana da C., Fábio F. Dias, Vânia C. de Assis, Camille de B. Pinto, and Fábio E. Rangel. "Validation of the positional accuracy of products resulting from the digital processing of UAV images." Revista Brasileira de Engenharia Agrícola e Ambiental 26, no. 8 (2022): 624–30. http://dx.doi.org/10.1590/1807-1929/agriambi.v26n8p624-630.

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ABSTRACT Unmanned aerial vehicles (UAVs), also known as drones, are being increasingly applied in different demands and applications, mainly in mapping. Despite the agility and practicality provided by this technology, the image processing software programs currently available on the market are costly and cannot meet teaching/research demands, especially in Brazilian public universities. In this context, this study aimed to evaluate the positional accuracy of products resulting from the digital processing of UAV images using commercial software (Agisoft Metashape) and open-source software (Opendronemap). The planimetric accuracy of the orthophoto mosaic resulting from the two software was not acceptable according to the tolerances defined in the standardization document for planimetric and altimetric accuracy for digital geospatial data, established by the ASPRS (American Society for Photogrammetry and Remote Sensing). Only the altimetric accuracy corresponding to the DEM produced by Opendronemap was satisfactory.
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Krupochkin, Evgeny P., Sergei I. Sukhanov, and Dmitry A. Vorobyov. "SURVEY OF ARCHAEOLOGICAL SITES OF GORNY ALTAY USING UAV." Vestnik SSUGT (Siberian State University of Geosystems and Technologies) 26, no. 2 (2021): 56–64. http://dx.doi.org/10.33764/2411-1759-2021-26-2-56-64.

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The article describes a methodology for determining the boundaries of archaeological sites using GPS survey and unmanned aerial vehicles (UAVs) with subsequent registration in the cadastral record. The method of georeferencing and photogrammetric processing of orthophotomaps using a system of control points has been tested. The digital photogrammetric program Agisoft Metashape (company Agisoft LLC, St. Petersburg) was chosen for the research. By means the program an orthomosaic was obtained with georeferencing with the Local Coordinate System (LCS-04). The result of the work was the construction of topographic plans and the determination of the boundaries of archaeological sites in accordance with the "Methodology for determining the boundaries of the territories of archaeologi-cal heritage sites, recommended for use by the letter of the Ministry of Culture of the Russian Federa-tion No. 12-01- 39/05-AB dated 27.01.2012".
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45

Vitali, M., and E. C. Giovannini. "PORTA PALATINA HISTORIC SURVEY DRAWINGS: DIGITAL REPLICAS AND COMPARISON WITH UPDATED DIGITAL ACQUISITION." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-1-2021 (August 28, 2021): 785–91. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-1-2021-785-2021.

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Abstract. The proposed research aims at a comparison of the main historical surveys conducted on the Porta Palatina by different authors, with the data of a current digital survey. Through a work of redrawing and superimposition of information deducted from historical drawings, the analysis will highlight the consistency, discrepancies and inconsistencies of these drawings compared to the current state of the artefact. Therefore, the instrumental survey, necessary for the subsequent stages of graphical analysis, was carried out using photogrammetric techniques and Metashape software.The drawings taken into consideration for this work are those by Sangallo (1494–1497 ca.), by Palladio (1566 ca.), by Promis (1869) and by D'Andrade (1883): they constitute a very interesting documentary heritage, although heterogeneous, in which qualitative drawings (Sangallo), scaled drawings (D'Andrade), measured drawings (in vicentine’s feet for Palladio, in meters for Promis) alternate.
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Peppa, Maria Valasia, Luca Morelli, Fabio Remondino, and Jon P. Mills. "3D Geometric Assessment of a Commercial RTK/PPP Visual Positioning Mobile Sensor." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W7-2024 (December 13, 2024): 97–104. https://doi.org/10.5194/isprs-archives-xlviii-2-w7-2024-97-2024.

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Abstract. The Leica GS18i visual positioning system, introduced in 2021, uses 3D imaging to measure points beyond the reach of conventional GNSS receivers, such as building façades. By leveraging RTK and PPP GNSS capabilities, it enables continuous image acquisition during surveys. This study assessed its 3D geometric accuracy in both open and complex environments with poor GNSS signals. Two field tests at Vindolanda Roman Fort and Newcastle University’s Quadrangle Gateway served to evaluate processing results within the proprietary Leica Infinity and Agisoft Metashape. Results demonstrated 3D RMSEs of ca 3.5 cm in RTK mode without GCPs and 2.5 cm when all images are triangulated with a single GCP. The system achieved consistent cm-level accuracy and precision under challenging conditions with sufficient initial GNSS RTK image orientation. Comparative analyses with Canon DSLR datasets highlighted the GS18i system’s efficiency, though software differences emerged.
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Hancco Luna, Cynthia, and Rudy Cusiatau Manuel. "Representaciones parietales de Jaqkechia en la comunidad de Pasto Grande Chacapunco, Moquegua." Ñawpa Marca 4, no. 13 (2024): 53–97. https://doi.org/10.70748/nm.13.2024.327.

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El presente artículo se enfocó en el estudio de las representaciones parietales del sitio de Jaqkechia, ubicado en la comunidad de Pasto Grande Chacapunco, Moquegua. Este sitio presenta un extraordinario patrimonio arqueológico, cuyas representaciones parietales están plasmadas sobre un soporte rocoso (paredón), el cual alberga un amplio y variado repertorio iconográfico. Circundado por diversos cuerpos de agua, con una amplia vista hacia el nevado Quihuiri y vegetación propia de la zona. A través de una metodología basada en un enfoque cualitativo de corte descriptivo se tiene como objetivo principal realizar el estudio en base a tres dimensiones: la descripción de los motivos iconográficos, tonalidades y técnicas de elaboración. Para el desarrollo de esta investigación se utilizó variadas técnicas e instrumentos como el software Photoshop, Adobe Illustrator, DStretch, Agisoft Metashape, entre otros. Los cuales viabilizaron los propósitos de este trabajo de investigación.
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Silva, Gabriela Mendonça da, and Antonio Fábio Sabbá Guimarães Vieira. "MAPEAMENTO DE VOÇOROCAS NA CIDADE DE RIO PRETO DA EVA (AM)." Geosaberes 11 (July 13, 2020): 517. http://dx.doi.org/10.26895/geosaberes.v11i0.947.

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Este trabalho teve como objetivo principal mapear as voçorocas do perímetro urbano da cidade de Rio Preto da Eva, no Amazonas. Vale destacar que estas, constituem-se feições erosivas que se caracterizam por apresentar grande impacto na paisagem, principalmente em ambiente urbano. Foram utilizadas como ferramentas a ficha cadastral e as imagens geradas por VANT e processadas no software Agisoft Metashape. A extração dos dados geomorfométricos foram feitos por meio da imagem Alos Palsar, na qual foram processadas no software Arcgis 10.5 para obtenção de hipsometria, curvas de nível e declividade. Os resultados apontam a existência de 3 voçorocas que somam uma área de mais de 5.254,42 m2 e um volume erodido de mais de 89.000 m3. Pelas características observadas em campo, verificou-se que estas estão bastante ativas, e indicam riscos para a população de seu entorno.
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Stanojković, Vujadin, Saša Bakrač, Dejan Đorđević, and Valentina Radonjić. "Processing of data collected by unmanned aerial photogrammetry systems." Tehnika 77, no. 6 (2022): 683–89. http://dx.doi.org/10.5937/tehnika2206683s.

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The paper describes the method of application of the platform for processing and managing spatial data collected by drones, as unmanned aerial photogrammetry systems. Software support for data processing and management, as well as model generation for photogrammetry purposes, is provided using the Agisoft Metashape software as an example. The data used for processing is related to the recording of the primary military standard for large lengths and angles, which is located in Kovin. The filming was carried out by a WingtraOne drone. The results of the work confirm the quality of the collected-recorded and processed-output data. The research confirmed the fact that the WingtraOne unmanned aerial photogrammetry system can be a good solution for collecting spatial data and creating some geotopographical materials for the needs of the Military Geographical Institute -"General Stevan Bošković".
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Sakamoto, Toshihiro, Daisuke Ogawa, Satoko Hiura, and Nobusuke Iwasaki. "Alternative Procedure to Improve the Positioning Accuracy of Orthomosaic Images Acquired with Agisoft Metashape and DJI P4 Multispectral for Crop Growth Observation." Photogrammetric Engineering & Remote Sensing 88, no. 5 (2022): 323–32. http://dx.doi.org/10.14358/pers.21-00064r2.

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Vegetation indices (VIs), such as the green chlorophyll index and normalized difference vegetation index, are calculated from visible and near-infrared band images for plant diagnosis in crop breeding and field management. The DJI P4 Multispectral drone combined with the Agisoft Metashape Structure from Motion/Multi View Stereo software is some of the most cost-effective equipment for creating high-resolution orthomosaic VI images. However, the manufacturer's procedure results in remarkable location estimation inaccuracy (average error: 3.27–3.45 cm) and alignment errors between spectral bands (average error: 2.80–2.84 cm). We developed alternative processing procedures to overcome these issues, and we achieved a higher positioning accuracy (average error: 1.32–1.38 cm) and better alignment accuracy between spectral bands (average error: 0.26–0.32 cm). The proposed procedure enables precise VI analysis, especially when using the green chlorophyll index for corn, and may help accelerate the application of remote sensing techniques to agriculture.
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