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Journal articles on the topic 'Multispectral 3D model'

Author: Grafiati

Published: 14 March 2023

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1

Sun, Guoxiang, Xiaochan Wang, Ye Sun, Yongqian Ding, and Wei Lu. "Measurement Method Based on Multispectral Three-Dimensional Imaging for the Chlorophyll Contents of Greenhouse Tomato Plants." Sensors 19, no. 15 (2019): 3345. http://dx.doi.org/10.3390/s19153345.

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Nondestructive plant growth measurement is essential for researching plant growth and health. A nondestructive measurement system to retrieve plant information includes the measurement of morphological and physiological information, but most systems use two independent measurement systems for the two types of characteristics. In this study, a highly integrated, multispectral, three-dimensional (3D) nondestructive measurement system for greenhouse tomato plants was designed. The system used a Kinect sensor, an SOC710 hyperspectral imager, an electric rotary table, and other components. A hetero

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Sun, Guoxiang, Yongqian Ding, Xiaochan Wang, Wei Lu, Ye Sun, and Hongfeng Yu. "Nondestructive Determination of Nitrogen, Phosphorus and Potassium Contents in Greenhouse Tomato Plants Based on Multispectral Three-Dimensional Imaging." Sensors 19, no. 23 (2019): 5295. http://dx.doi.org/10.3390/s19235295.

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Measurement of plant nitrogen (N), phosphorus (P), and potassium (K) levels are important for determining precise fertilization management approaches for crops cultivated in greenhouses. To accurately, rapidly, stably, and nondestructively measure the NPK levels in tomato plants, a nondestructive determination method based on multispectral three-dimensional (3D) imaging was proposed. Multiview RGB-D images and multispectral images were synchronously collected, and the plant multispectral reflectance was registered to the depth coordinates according to Fourier transform principles. Based on the

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Wisotzky, Eric L., Jean-Claude Rosenthal, Anna Hilsmann, Peter Eisert, and Florian C. Uecker. "A multispectral 3D-Endoscope for Cholesteatoma Removal." Current Directions in Biomedical Engineering 6, no. 3 (2020): 257–60. http://dx.doi.org/10.1515/cdbme-2020-3065.

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AbstractWe present a stereo-multispectral endoscopic prototype using a filter-wheel to guide the removal of cholesteatoma tissue in the middle ear. An image-based method is used that combines multispectral tissue classification for the detection of tissue to be removed and 3Dreconstruction to determine its metric dimensions. The multispectral illumination used for tissue classification ranges from λ = 400 nm to λ = 500 nm with step-size of 20 nm, which results in six different narrow-band illumination modes. For classical RGB imaging and metric calculations, a broadband illumination mode is ap

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Zainuddin, K., Z. Majid, M. F. M. Ariff, K. M. Idris, M. A. Abbas, and N. Darwin. "3D MODELING FOR ROCK ART DOCUMENTATION USING LIGHTWEIGHT MULTISPECTRAL CAMERA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W9 (January 31, 2019): 787–93. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w9-787-2019.

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<p><strong>Abstract.</strong> This paper discusses the use of the lightweight multispectral camera to acquire three-dimensional data for rock art documentation application. The camera consists of five discrete bands, used for taking the motifs of the rock art paintings on a big structure of a cave based on the close-range photogrammetry technique. The captured images then processed using commercial structure-from-motion photogrammetry software, which automatically extracts the tie point. The extracted tie points were then used as input to generate a dense point cloud based on

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LARSON, ADAM M., ANTHONY LEE, PO-FENG LEE, KAYLA J. BAYLESS, and ALVIN T. YEH. "ULTRASHORT PULSE MULTISPECTRAL NON-LINEAR OPTICAL MICROSCOPY." Journal of Innovative Optical Health Sciences 02, no. 01 (2009): 27–35. http://dx.doi.org/10.1142/s1793545809000292.

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Ultrashort pulse, multispectral non-linear optical microscopy (NLOM) is developed and used to image, simultaneously, a mixed population of cells expressing different fluorescent protein mutants in a 3D tissue model of angiogenesis. Broadband, sub-10-fs pulses are used to excite multiple fluorescent proteins and generate second harmonic in collagen. A 16-channel multispectral detector is used to delineate the multiple non-linear optical signals, pixel by pixel, in NLOM. The ability to image multiple fluorescent protein mutants and collagen, enables serial measurements of cell-cell and cell-matr

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Es Sebar, Leila, Luca Lombardo, Marco Parvis, Emma Angelini, Alessandro Re, and Sabrina Grassini. "A metrological approach for multispectral photogrammetry." ACTA IMEKO 10, no. 4 (2021): 111. http://dx.doi.org/10.21014/acta_imeko.v10i4.1194.

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<p>This paper presents the design and development of a three-dimensional reference object for the metrological quality assessment of photogrammetry-based techniques, for application in the cultural heritage field. The reference object was 3D printed, with nominal manufacturing uncertainty of the order of 0.01 mm. The object was realized as a dodecahedron, and in each face, a different pictorial preparation was inserted. The preparations include several pigments, binders, and varnishes, to be representative of the materials and techniques used historically by artists.</p><p>Si

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Lerma, J. L., M. Cabrelles, T. S. Akasheh, and N. A. Haddad. "Documentation of Weathered Architectural Heritage with Visible, near Infrared, Thermal and Laser Scanning Data." International Journal of Heritage in the Digital Era 1, no. 2 (2012): 251–75. http://dx.doi.org/10.1260/2047-4970.1.2.251.

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Documentation of cultural heritage requires simple, quick and easy to use multi-sensor approaches to determine the state of conservation of monuments and sites. The documentation of a highly weathered architectural heritage such as the Obelisk Tomb is a good example to test the performance integrating multispectral imagery and laser scanning data. The Obelisk Tomb is the first important façade that a visitor sees while entering to the archaeological site of Petra in Jordan. The rich architectural formations carry Egyptian, Hellenistic and Nabataean influences. The damage that was inflicted on

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Luo, Heng, Biao He, Renzhong Guo, et al. "Urban Building Extraction and Modeling Using GF-7 DLC and MUX Images." Remote Sensing 13, no. 17 (2021): 3414. http://dx.doi.org/10.3390/rs13173414.

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Urban modeling and visualization are highly useful in the development of smart cities. Buildings are the most prominent features in the urban environment, and are necessary for urban decision support; thus, buildings should be modeled effectively and efficiently in three dimensions (3D). In this study, with the help of Gaofen-7 (GF-7) high-resolution stereo mapping satellite double-line camera (DLC) images and multispectral (MUX) images, the boundary of a building is segmented via a multilevel features fusion network (MFFN). A digital surface model (DSM) is generated to obtain the elevation of

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Wisotzky, Eric L., Jean-Claude Rosenthal, Ulla Wege, Anna Hilsmann, Peter Eisert, and Florian C. Uecker. "Surgical Guidance for Removal of Cholesteatoma Using a Multispectral 3D-Endoscope." Sensors 20, no. 18 (2020): 5334. http://dx.doi.org/10.3390/s20185334.

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We develop a stereo-multispectral endoscopic prototype in which a filter-wheel is used for surgical guidance to remove cholesteatoma tissue in the middle ear. Cholesteatoma is a destructive proliferating tissue. The only treatment for this disease is surgery. Removal is a very demanding task, even for experienced surgeons. It is very difficult to distinguish between bone and cholesteatoma. In addition, it can even reoccur if not all tissue particles of the cholesteatoma are removed, which leads to undesirable follow-up operations. Therefore, we propose an image-based method that combines multi

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Suo, McGovern, and Gilmer. "Coastal Dune Vegetation Mapping Using a Multispectral Sensor Mounted on an UAS." Remote Sensing 11, no. 15 (2019): 1814. http://dx.doi.org/10.3390/rs11151814.

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Vegetation mapping, identifying the type and distribution of plant species, is important for analysing vegetation dynamics, quantifying spatial patterns of vegetation evolution, analysing the effects of environmental changes and predicting spatial patterns of species diversity. Such analysis can contribute to the development of targeted land management actions that maintain biodiversity and ecological functions. This paper presents a methodology for 3D vegetation mapping of a coastal dune complex using a multispectral camera mounted on an unmanned aerial system with particular reference to the

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Zhang, C., A. Breitbarth, M. Rosenberger, and G. Notni. "3D model based shading correction for the enhancement of multispectral colour measurement accuracy." Journal of Physics: Conference Series 1065 (August 2018): 032008. http://dx.doi.org/10.1088/1742-6596/1065/3/032008.

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Rincón, Manuel García, Diego Mendez, and Julian D. Colorado. "Four-Dimensional Plant Phenotyping Model Integrating Low-Density LiDAR Data and Multispectral Images." Remote Sensing 14, no. 2 (2022): 356. http://dx.doi.org/10.3390/rs14020356.

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High-throughput platforms for plant phenotyping usually demand expensive high-density LiDAR devices with computational intense methods for characterizing several morphological variables. In fact, most platforms require offline processing to achieve a comprehensive plant architecture model. In this paper, we propose a low-cost plant phenotyping system based on the sensory fusion of low-density LiDAR data with multispectral imagery. Our contribution is twofold: (i) an integrated phenotyping platform with embedded processing methods capable of providing real-time morphological data, and (ii) a mu

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Matikainen, Leena, Juha Hyyppä, and Paula Litkey. "MULTISPECTRAL AIRBORNE LASER SCANNING FOR AUTOMATED MAP UPDATING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 323–30. http://dx.doi.org/10.5194/isprs-archives-xli-b3-323-2016.

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During the last 20 years, airborne laser scanning (ALS), often combined with multispectral information from aerial images, has shown its high feasibility for automated mapping processes. Recently, the first multispectral airborne laser scanners have been launched, and multispectral information is for the first time directly available for 3D ALS point clouds. This article discusses the potential of this new single-sensor technology in map updating, especially in automated object detection and change detection. For our study, Optech Titan multispectral ALS data over a suburban area in Finland we

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Matikainen, Leena, Juha Hyyppä, and Paula Litkey. "MULTISPECTRAL AIRBORNE LASER SCANNING FOR AUTOMATED MAP UPDATING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B3 (June 9, 2016): 323–30. http://dx.doi.org/10.5194/isprsarchives-xli-b3-323-2016.

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During the last 20 years, airborne laser scanning (ALS), often combined with multispectral information from aerial images, has shown its high feasibility for automated mapping processes. Recently, the first multispectral airborne laser scanners have been launched, and multispectral information is for the first time directly available for 3D ALS point clouds. This article discusses the potential of this new single-sensor technology in map updating, especially in automated object detection and change detection. For our study, Optech Titan multispectral ALS data over a suburban area in Finland we

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Wang, Xuewen, Qingzhan Zhao, Feng Han, Jianxin Zhang, and Ping Jiang. "Canopy Extraction and Height Estimation of Trees in a Shelter Forest Based on Fusion of an Airborne Multispectral Image and Photogrammetric Point Cloud." Journal of Sensors 2021 (June 27, 2021): 1–13. http://dx.doi.org/10.1155/2021/5519629.

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To reduce data acquisition cost, this study proposed a novel method of individual tree height estimation and canopy extraction based on fusion of an airborne multispectral image and photogrammetric point cloud. A fixed-wing drone was deployed to acquire the true color and multispectral images of a shelter forest. The Structure-from-Motion (SfM) algorithm was used to reconstruct the 3D point cloud of the canopy. The 3D point cloud was filtered to acquire the ground point cloud and then interpolated to a Digital Elevation Model (DEM) using the Radial Basis Function Neural Network (RBFNN). The DE

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Poudel, A., and E. Bevilacqua. "ASSESSING RED PINE SEEDLINGS USING UAV POINT CLOUDS AND FIELD-VERIFIED DATA." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVI-M-2-2022 (July 25, 2022): 173–76. http://dx.doi.org/10.5194/isprs-archives-xlvi-m-2-2022-173-2022.

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Abstract. Accurate, reliable, and cost-efficient approaches to forest monitoring are critical for sustainable forest management. The use of digital photogrammetry for tree height estimation is well-known among forest managers and remote sensing researchers. Satellite remote sensing has not been very successful in providing detailed and reliable estimates of tree height. Unmanned Aerial Vehicles (UAVs) are one of the latest remote sensing platforms to get forest attributes information at very high temporal and spatial resolution. This study assessed the potential of using digital aerial photogr

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Suo, C., E. McGovern, and A. Gilmer. "VEGETATION MAPPING OF A COASTAL DUNE COMPLEX USING MULTISPECTRAL IMAGERY ACQUIRED FROM AN UNMANNED AERIAL SYSTEM." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 421–27. http://dx.doi.org/10.5194/isprs-archives-xlii-1-421-2018.

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<p><strong>Abstract.</strong> Vegetation mapping, identifying the distribution of plant species, is important for analysing vegetation dynamics, quantifying spatial patterns of vegetation evolution, analysing the effects of environment changes on vegetation, and predicting spatial patterns of species diversity. Such analysis can contribute to the development of targeted land management actions that maintain biodiversity and ecological functions. This paper represents a methodology for 3D vegetation mapping of a coastal dune complex using a multispectral camera mounted on an U

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Huang, Wenhui, Kun Wang, Yu An, et al. "In vivo three-dimensional evaluation of tumour hypoxia in nasopharyngeal carcinomas using FMT-CT and MSOT." European Journal of Nuclear Medicine and Molecular Imaging 47, no. 5 (2019): 1027–38. http://dx.doi.org/10.1007/s00259-019-04526-x.

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Abstract Purpose Accurate evaluation of hypoxia is particularly important in patients with nasopharyngeal carcinoma (NPC) undergoing radiotherapy. The aim of this study was to propose a novel imaging strategy for quantitative three-dimensional (3D) evaluation of hypoxia in a small animal model of NPC. Methods A carbonic anhydrase IX (CAIX)-specific molecular probe (CAIX-800) was developed for imaging of hypoxia. Mouse models of subcutaneous, orthotopic, and spontaneous lymph node metastasis from NPC (5 mice per group) were established to assess the imaging strategy. A multi-modality imaging me

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Chromy, Adam, and Ludek Zalud. "The RoScan Thermal 3D Body Scanning System: Medical Applicability and Benefits for Unobtrusive Sensing and Objective Diagnosis." Sensors 20, no. 22 (2020): 6656. http://dx.doi.org/10.3390/s20226656.

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The RoScan is a novel, high-accuracy multispectral surface scanning system producing colored 3D models that include a thermal layer. (1) Background: at present, medicine still exhibits a lack of objective diagnostic methods. As many diseases involve thermal changes, thermography may appear to be a convenient technique for the given purpose; however, there are three limiting problems: exact localization, resolution vs. range, and impossibility of quantification. (2) Methods: the basic principles and benefits of the system are described. The procedures rely on a robotic manipulator with multiple

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Kolbe, Christine, Boris Thies, Sebastian Egli, Lukas Lehnert, Hans Schulz, and Jörg Bendix. "Precipitation Retrieval over the Tibetan Plateau from the Geostationary Orbit—Part 1: Precipitation Area Delineation with Elektro-L2 and Insat-3D." Remote Sensing 11, no. 19 (2019): 2302. http://dx.doi.org/10.3390/rs11192302.

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The lack of long term and well distributed precipitation observations on the Tibetan Plateau (TiP) with its complex terrain raises the need for other sources of precipitation data for this area. Satellite-based precipitation retrievals can fill those data gaps. Before precipitation rates can be retrieved from satellite imagery, the precipitating area needs to be classified properly. Here, we present a feasibility study of a precipitation area delineation scheme for the TiP based on multispectral data with data fusion from the geostationary orbit (GEO, Insat-3D and Elektro-L2) and a machine lea

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Martelet, Guillaume, Eric Gloaguen, Arne Døssing, Eduardo Lima Simoes da Silva, Johannes Linde, and Thorkild M. Rasmussen. "Airborne/UAV Multisensor Surveys Enhance the Geological Mapping and 3D Model of a Pseudo-Skarn Deposit in Ploumanac’h, French Brittany." Minerals 11, no. 11 (2021): 1259. http://dx.doi.org/10.3390/min11111259.

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Taking advantage of a multi-sensor (multispectral and magnetic) drone survey, we address the detailed geological mapping and modeling of a mineralization in its geological environment. We stress that these high-resolution data allow us to bridge the gap between field observations and a regional aeromagnetic survey. On the one hand, the combination of multispectral imagery with field geological observations enhances detailed geological mapping. On the other hand, the combination of field magnetic susceptibility measurement and their use in detailed to regional magnetic modeling, constrained res

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Vong, André, João P. Matos-Carvalho, Piero Toffanin, et al. "How to Build a 2D and 3D Aerial Multispectral Map?—All Steps Deeply Explained." Remote Sensing 13, no. 16 (2021): 3227. http://dx.doi.org/10.3390/rs13163227.

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The increased development of camera resolution, processing power, and aerial platforms helped to create more cost-efficient approaches to capture and generate point clouds to assist in scientific fields. The continuous development of methods to produce three-dimensional models based on two-dimensional images such as Structure from Motion (SfM) and Multi-View Stereopsis (MVS) allowed to improve the resolution of the produced models by a significant amount. By taking inspiration from the free and accessible workflow made available by OpenDroneMap, a detailed analysis of the processes is displaye

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Es Sebar, Leila, Luca Lombardo, Paola Buscaglia, et al. "3D Multispectral Imaging for Cultural Heritage Preservation: The Case Study of a Wooden Sculpture of the Museo Egizio di Torino." Heritage 6, no. 3 (2023): 2783–95. http://dx.doi.org/10.3390/heritage6030148.

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Digitalization techniques, such as photogrammetry (PG), are attracting the interest of experts in the cultural heritage field, as they enable the creation of three-dimensional virtual replicas of historical artifacts with 2D digital images. Indeed, PG allows for acquiring data regarding the overall appearance of an artifact, its geometry, and its texture. Furthermore, among several image-based techniques exploited for the conservation of works of art, multispectral imaging (MSI) finds great application in the study of the materials of historical items, taking advantage of the different respons

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Godefroy, Guillaume, Bastien Arnal, and Emmanuel Bossy. "Multispectral photoacoustic fluctuation imaging for full visibility SO₂ imaging." Journal of the Acoustical Society of America 152, no. 4 (2022): A225. http://dx.doi.org/10.1121/10.0016088.

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Photoacoustic (PA) imaging (PAI) images blood vessels through the hemoglobin contrast. However, conventional images are affected by visibility artefacts which prevents seeing all the blood vessels morphology. We introduced PA fluctuation imaging (PAFI) exploiting the absorption fluctuations due to blood flow. Here, we demonstrate how PAFI enhances the image quality and elaborate if it can be used for quantitative multispectral (MS) imaging for 3D blood oxygenation (SO2) imaging. A spherical array (256 elements, 8 MHz, Imasonic) connected to a Verasonics Vantage scanner, was coupled to the lase

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Jackisch, Robert, Björn H. Heincke, Robert Zimmermann, et al. "Drone-based magnetic and multispectral surveys to develop a 3D model for mineral exploration at Qullissat, Disko Island, Greenland." Solid Earth 13, no. 4 (2022): 793–825. http://dx.doi.org/10.5194/se-13-793-2022.

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Abstract. Mineral exploration in the West Greenland flood basalt province is attractive because of its resemblance to the magmatic sulfide-rich deposit in the Russian Norilsk region, but it is challenged by rugged topography and partly poor exposure for relevant geologic formations. On northern Disko Island, previous exploration efforts have identified rare native iron occurrences and a high potential for Ni–Cu–Co–PGE–Au mineralization. However, Quaternary landslide activity has obliterated rock exposure in many places at lower elevations. To augment prospecting field work under these challeng

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Zainuddin, K., Z. Majid, M. F. M. Ariff, and K. M. Idris. "MEASUREMENT ACCURACY ON 3D POINT CLOUD GENERATED USING MULTISPECTRAL IMAGERY BY DIFFERENT CALIBRATION METHODS." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-4/W16 (October 1, 2019): 697–703. http://dx.doi.org/10.5194/isprs-archives-xlii-4-w16-697-2019.

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Abstract. The state-of-the-art lightweight multispectral cameras are widely used for low altitude remote sensing, also can be exploited as a tool for close-range photogrammetry application. The acquired imagery can be used for generating the 3D model using Structure-from-Motion/ Multi-view Stereo (SfM/MVS) processing software. In photogrammetry, camera calibration is an essential step for accurate measurement. The parameter of the camera system can be estimated using photogrammetric self-calibration bundle-adjustment, or by automatic and straightforward calibration procedure developed by compu

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Kalukin, Andrew, Satoshi Endo, Russell Crook, et al. "Image Collection Simulation Using High-Resolution Atmospheric Modeling." Remote Sensing 12, no. 19 (2020): 3214. http://dx.doi.org/10.3390/rs12193214.

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A new method is described for simulating the passive remote sensing image collection of ground targets that includes effects from atmospheric physics and dynamics at fine spatial and temporal scales. The innovation in this research is the process of combining a high-resolution weather model with image collection simulation to attempt to account for heterogeneous and high-resolution atmospheric effects on image products. The atmosphere was modeled on a 3D voxel grid by a Large-Eddy Simulation (LES) driven by forcing data constrained by local ground-based and air-based observations. The spatial

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Cheng, Jinpeng, Hao Yang, Jianbo Qi, et al. "Estimating canopy-scale chlorophyll content in apple orchards using a 3D radiative transfer model and UAV multispectral imagery." Computers and Electronics in Agriculture 202 (November 2022): 107401. http://dx.doi.org/10.1016/j.compag.2022.107401.

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Bakuła, K., P. Kupidura, and Ł. Jełowicki. "TESTING OF LAND COVER CLASSIFICATION FROM MULTISPECTRAL AIRBORNE LASER SCANNING DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 20, 2016): 161–69. http://dx.doi.org/10.5194/isprs-archives-xli-b7-161-2016.

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Multispectral Airborne Laser Scanning provides a new opportunity for airborne data collection. It provides high-density topographic surveying and is also a useful tool for land cover mapping. Use of a minimum of three intensity images from a multiwavelength laser scanner and 3D information included in the digital surface model has the potential for land cover/use classification and a discussion about the application of this type of data in land cover/use mapping has recently begun. In the test study, three laser reflectance intensity images (orthogonalized point cloud) acquired in green, near-

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Bakuła, K., P. Kupidura, and Ł. Jełowicki. "TESTING OF LAND COVER CLASSIFICATION FROM MULTISPECTRAL AIRBORNE LASER SCANNING DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLI-B7 (June 20, 2016): 161–69. http://dx.doi.org/10.5194/isprsarchives-xli-b7-161-2016.

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Multispectral Airborne Laser Scanning provides a new opportunity for airborne data collection. It provides high-density topographic surveying and is also a useful tool for land cover mapping. Use of a minimum of three intensity images from a multiwavelength laser scanner and 3D information included in the digital surface model has the potential for land cover/use classification and a discussion about the application of this type of data in land cover/use mapping has recently begun. In the test study, three laser reflectance intensity images (orthogonalized point cloud) acquired in green, near-

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Gong, Chizhang, Henning Buddenbaum, Rebecca Retzlaff, and Thomas Udelhoven. "An Empirical Assessment of Angular Dependency for RedEdge-M in Sloped Terrain Viticulture." Remote Sensing 11, no. 21 (2019): 2561. http://dx.doi.org/10.3390/rs11212561.

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For grape canopy pixels captured by an unmanned aerial vehicle (UAV) tilt-mounted RedEdge-M multispectral sensor in a sloped vineyard, an in situ Walthall model can be established with purely image-based methods. This was derived from RedEdge-M directional reflectance and a vineyard 3D surface model generated from the same imagery. The model was used to correct the angular effects in the reflectance images to form normalized difference vegetation index (NDVI) orthomosaics of different view angles. The results showed that the effect could be corrected to a certain scope, but not completely. The

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Zhu, Sun, Peng, et al. "Estimating Maize Above-Ground Biomass Using 3D Point Clouds of Multi-Source Unmanned Aerial Vehicle Data at Multi-Spatial Scales." Remote Sensing 11, no. 22 (2019): 2678. http://dx.doi.org/10.3390/rs11222678.

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Crop above-ground biomass (AGB) is a key parameter used for monitoring crop growth and predicting yield in precision agriculture. Estimating the crop AGB at a field scale through the use of unmanned aerial vehicles (UAVs) is promising for agronomic application, but the robustness of the methods used for estimation needs to be balanced with practical application. In this study, three UAV remote sensing flight missions (using a multiSPEC-4C multispectral camera, a Micasense RedEdge-M multispectral camera, and an Alpha Series AL3-32 Light Detection and Ranging (LiDAR) sensor onboard three differe

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Takács, Péter, János Tamás, and Csaba Lénárd. "Virtual Soil Information Systems in the Bihar Subregion and at Tedej Corp." Acta Agraria Debreceniensis, no. 13 (May 4, 2004): 186–89. http://dx.doi.org/10.34101/actaagrar/13/3410.

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After evaluating the sample sites’ soils and environmental status, we built up 2 different soil information systems. The first relies on analog data (soil maps), and is based on a regional model; its sample site is the Bihar sub-region. The second is a complex, field scale virtual 3D system, based on several types of data sources. (Aerial photos, GPS, field samples, hyper and multispectral images, soil maps). In this paper, we analyze and evaluate these systems. The greatest advantage of the models is that, with their usage, we can reveal connections which cannot be made by analyzing the indiv

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Cardaci, A., A. Versaci, and P. Azzola. "3D LOW-COST MULTISPECTRAL UAV SYSTEMS: SURVEY AND ANALYSIS OF TORRESINO DA POLVERE OF SAN MARCO IN BERGAMO." International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLVIII-2/W1-2022 (December 8, 2022): 37–44. http://dx.doi.org/10.5194/isprs-archives-xlviii-2-w1-2022-37-2022.

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Abstract. The Torresini da Polvere are special constructions built by the Venetian Republic between the 16th and 18th centuries. They are unique architectural structures, characterized by a pyramidal roof, for the preservation of the gunpowder. The torresino of San Marco in Bergamo is one of the best-preserved in the world and was then the subject of detailed research. The powder magazine was measured by professional, ground-based and airborne instruments. The paper shows a comparison between the existing structure and the photogrammetric model obtained by low-cost UAV systems to formulate an

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PENG, YAJING, YANXUE JIANG, and YANQIANG YANG. "LASER-INDUCED THERMAL–MECHANICAL DAMAGE CHARACTERISTICS OF CLEARTRAN MULTISPECTRAL ZINC SULFIDE WITH TEMPERATURE-DEPENDENT PROPERTIES." Surface Review and Letters 22, no. 01 (2015): 1550014. http://dx.doi.org/10.1142/s0218625x15500146.

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Laser-induced thermal–mechanical damage characteristics of window materials are the focus problems in laser weapon and anti-radiation reinforcement technology. Thermal–mechanical effects and damage characteristics are investigated for cleartran multispectral zinc sulfide ( ZnS ) thin film window materials irradiated by continuous laser using three-dimensional (3D) thermal–mechanical model. Some temperature-dependent parameters are introduced into the model. The temporal-spatial distributions of temperature and thermal stress are exhibited. The damage mechanism is analyzed. The influences of te

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Dou, Xinyu, Chenyu Li, Qian Shi, and Mengxi Liu. "Super-Resolution for Hyperspectral Remote Sensing Images Based on the 3D Attention-SRGAN Network." Remote Sensing 12, no. 7 (2020): 1204. http://dx.doi.org/10.3390/rs12071204.

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Hyperspectral remote sensing images (HSIs) have a higher spectral resolution compared to multispectral remote sensing images, providing the possibility for more reasonable and effective analysis and processing of spectral data. However, rich spectral information usually comes at the expense of low spatial resolution owing to the physical limitations of sensors, which brings difficulties for identifying and analyzing targets in HSIs. In the super-resolution (SR) field, many methods have been focusing on the restoration of the spatial information while ignoring the spectral aspect. To better res

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Angheluță, L. M., L. Ratoiu, A. I. Chelmus, R. Rădvan, and A. Petculescu. "INTEGRATED DIGITAL PLATFORM FOR THE VALORIZATION OF A CULTURAL LANDSCAPE." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5/W1 (May 16, 2017): 389–93. http://dx.doi.org/10.5194/isprs-archives-xlii-5-w1-389-2017.

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This paper presents a newly started demonstrative project regarding the implementation and validation of an interdisciplinary research model for the Aluniș-Bozioru (Romania) cultural landscape, with the development of an online interactive digital product. This digital product would provide complementary data about the historical monuments and their environment, and also, constant updates and statistical comparison in order to generate an accurate evaluation of the state of conservation for this specific cultural landscape. Furthermore, the resulted information will contribute in the decision

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Nurtyawan, Rian, and Nadia Fiscarina. "ASSESSMENT OF THE ACCURACY OF DEM FROM PANCHROMATIC PLEIADES IMAGERY (CASE STUDY: BANDUNG CITY. WEST JAVA)." International Journal of Remote Sensing and Earth Sciences (IJReSES) 17, no. 1 (2020): 34. http://dx.doi.org/10.30536/j.ijreses.2020.v17.a3329.

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Pleiades satellite imagery is very high resolution. with 0.5 m spatial resolution in the panchromatic band and 2.5 m in the multispectral band. Digital elevation models (DEM) are digital models that represent the shape of the Earth's surface in three-dimensional (3D) form. The purpose of this study was to assess DEM accuracy from panchromatic Pleaides imagery. The process conducted was orthorectification using ground control points (GCPs) and the rational function model with rational polynomial coefficient (RFC) parameters. The DEM extraction process employed photogrammetric methods with diffe

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Rüdisser, Daniel, Tobias Weiss, and Lukas Unger. "Spatially Resolved Analysis of Urban Thermal Environments Based on a Three-Dimensional Sampling Algorithm and UAV-Based Radiometric Measurements." Sensors 21, no. 14 (2021): 4847. http://dx.doi.org/10.3390/s21144847.

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A new method and workflow to assess outdoor thermal comfort and thermal stress in urban areas is developed. The new methodology is applied to a case of an urban quarter in the city of Graz. The method recognises the significance of detailed and accurate spatially resolved determination of mean radiant temperatures taking into account all relevant radiative components, comprising thermal radiation, as well as global radiation. The method relies on radiometric imaging data that are mapped onto a three-dimensional model. The image data are acquired by means of drones (UAVs) equipped with multispe

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Sangjan, Worasit, Rebecca J. McGee, and Sindhuja Sankaran. "Optimization of UAV-Based Imaging and Image Processing Orthomosaic and Point Cloud Approaches for Estimating Biomass in a Forage Crop." Remote Sensing 14, no. 10 (2022): 2396. http://dx.doi.org/10.3390/rs14102396.

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Forage and field peas provide essential nutrients for livestock diets, and high-quality field peas can influence livestock health and reduce greenhouse gas emissions. Above-ground biomass (AGBM) is one of the vital traits and the primary component of yield in forage pea breeding programs. However, a standard method of AGBM measurement is a destructive and labor-intensive process. This study utilized an unmanned aerial vehicle (UAV) equipped with a true-color RGB and a five-band multispectral camera to estimate the AGBM of winter pea in three breeding trials (two seed yields and one cover crop)

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Ilehag, R., D. Bulatov, P. Helmholz, and D. Belton. "CLASSIFICATION AND REPRESENTATION OF COMMONLY USED ROOFING MATERIAL USING MULTISENSORIAL AERIAL DATA." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-1 (September 26, 2018): 217–24. http://dx.doi.org/10.5194/isprs-archives-xlii-1-217-2018.

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<p><strong>Abstract.</strong> As more cities are starting to experience the urban heat islands effect, knowledge about the energy emitted from building roofs is of primary importance. Since this energy depends both on roof orientations and materials, we tackled both issues by analysing sensor data from multispectral, thermal infrared, high-resolution RGB, and airborne laser datasets (each with different spatial resolutions) of a council in Perth, Australia. To localise the roofs, we acquired building outlines that had to be updated using the normalised digital surface model,

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Comba, L., A. Biglia, D. Ricauda Aimonino, et al. "Leaf Area Index evaluation in vineyards using 3D point clouds from UAV imagery." Precision Agriculture 21, no. 4 (2019): 881–96. http://dx.doi.org/10.1007/s11119-019-09699-x.

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AbstractThe Leaf Area Index (LAI) is an ecophysiology key parameter characterising the canopy-atmosphere interface where most of the energy fluxes are exchanged. However, producing maps for managing the spatial and temporal variability of LAI in large croplands with traditional techniques is typically laborious and expensive. The objective of this paper is to evaluate the reliability of LAI estimation by processing dense 3D point clouds as a cost-effective alternative to traditional LAI assessments. This would allow for high resolution, extensive and fast mapping of the index, even in hilly an

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Näsi, R., N. Viljanen, J. Kaivosoja, et al. "ASSESSMENT OF VARIOUS REMOTE SENSING TECHNOLOGIES IN BIOMASS AND NITROGEN CONTENT ESTIMATION USING AN AGRICULTURAL TEST FIELD." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W3 (October 19, 2017): 137–41. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w3-137-2017.

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Multispectral and hyperspectral imaging is usually acquired by satellite and aircraft platforms. Recently, miniaturized hyperspectral 2D frame cameras have showed great potential to precise agriculture estimations and they are feasible to combine with lightweight platforms, such as drones. Drone platform is a flexible tool for remote sensing applications with environment and agriculture. The assessment and comparison of different platforms such as satellite, aircraft and drones with different sensors, such as hyperspectral and RGB cameras is an important task in order to understand the potenti

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Khare, Siddhartha, Hooman Latifi, Sergio Rossi, and Sanjay Kumar Ghosh. "Fractional Cover Mapping of Invasive Plant Species by Combining Very High-Resolution Stereo and Multi-Sensor Multispectral Imageries." Forests 10, no. 7 (2019): 540. http://dx.doi.org/10.3390/f10070540.

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Invasive plant species are major threats to biodiversity. They can be identified and monitored by means of high spatial resolution remote sensing imagery. This study aimed to test the potential of multiple very high-resolution (VHR) optical multispectral and stereo imageries (VHRSI) at spatial resolutions of 1.5 and 5 m to quantify the presence of the invasive lantana (Lantana camara L.) and predict its distribution at large spatial scale using medium-resolution fractional cover analysis. We created initial training data for fractional cover analysis by classifying smaller extent VHR data (SPO

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Esch, Thomas, Julian Zeidler, Daniela Palacios-Lopez, et al. "Towards a Large-Scale 3D Modeling of the Built Environment—Joint Analysis of TanDEM-X, Sentinel-2 and Open Street Map Data." Remote Sensing 12, no. 15 (2020): 2391. http://dx.doi.org/10.3390/rs12152391.

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Continental to global scale mapping of the human settlement extent based on earth observation satellite data has made considerable progress. Nevertheless, the current approaches only provide a two-dimensional representation of the built environment. Therewith, a full characterization is restricted in terms of the urban morphology and built-up density, which can only be gained by a detailed examination of the vertical settlement extent. This paper introduces a methodology for the extraction of three-dimensional (3D) information on human settlements by analyzing the digital elevation and radar i

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Michez, Adrien, Philippe Lejeune, Sébastien Bauwens, et al. "Mapping and Monitoring of Biomass and Grazing in Pasture with an Unmanned Aerial System." Remote Sensing 11, no. 5 (2019): 473. http://dx.doi.org/10.3390/rs11050473.

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The tools available to farmers to manage grazed pastures and adjust forage demand to grass growth are generally rather static. Unmanned aerial systems (UASs) are interesting versatile tools that can provide relevant 3D information, such as sward height (3D structure), or even describe the physical condition of pastures through the use of spectral information. This study aimed to evaluate the potential of UAS to characterize a pasture’s sward height and above-ground biomass at a very fine spatial scale. The pasture height provided by UAS products showed good agreement (R2 = 0.62) with a referen

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Oniga, Valeria-Ersilia, Norbert Pfeifer, and Ana-Maria Loghin. "3D Calibration Test-Field for Digital Cameras Mounted on Unmanned Aerial Systems (UAS)." Remote Sensing 10, no. 12 (2018): 2017. http://dx.doi.org/10.3390/rs10122017.

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Due to the large number of technological developments in recent years, UAS systems are now used for monitoring purposes and in projects with high precision demand, such as 3D model-based creation of dams, reservoirs, historical monuments etc. These unmanned systems are usually equipped with an automatic pilot device and a digital camera (photo/video, multispectral, Near Infrared etc.), of which the lens has distortions; but this can be determined in a calibration process. Currently, a method of “self-calibration” is used for the calibration of the digital cameras mounted on UASs, but, by using

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Jurado, J., M. Ramos, C. Enríquez, and F. Feito. "The Impact of Canopy Reflectance on the 3D Structure of Individual Trees in a Mediterranean Forest." Remote Sensing 12, no. 9 (2020): 1430. http://dx.doi.org/10.3390/rs12091430.

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The characterization of 3D vegetation structures is an important topic, which has been addressed by recent research in remote sensing. The forest inventory requires the proper extraction of accurate structural and functional features of individual trees. This paper presents a novel methodology to study the impact of the canopy reflectance on the 3D tree structure. A heterogeneous natural environment in a Mediterranean forest, in which various tree species (pine, oak and eucalyptus) coexist, was covered using a high-resolution digital camera and a multispectral sensor. These devices were mounte

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Yang, Zhiwen, Hebing Zhang, Xiaoxuan Lyu, and Weibing Du. "Improving Typical Urban Land-Use Classification with Active-Passive Remote Sensing and Multi-Attention Modules Hybrid Network: A Case Study of Qibin District, Henan, China." Sustainability 14, no. 22 (2022): 14723. http://dx.doi.org/10.3390/su142214723.

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The study of high-precision land-use classification is essential for the sustainable development of land resources. This study addresses the problem of classification errors in optical remote-sensing images under high surface humidity, cloud cover, and hazy weather. The synthetic aperture radar (SAR) images are sensitive to soil moisture, and the microwave can penetrate clouds, haze, and smoke. By using both the active and passive remote-sensing data, the Sentinel-1A SAR and Sentinel-2B multispectral (MS) images are combined synergistically. The full-band data combining the SAR + MS + spectral

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Deng, S., M. Katoh, Y. Takenaka, et al. "TREE SPECIES CLASSIFICATION OF BROADLEAVED FORESTS IN NAGANO, CENTRAL JAPAN, USING AIRBORNE LASER DATA AND MULTISPECTRAL IMAGES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-3/W3 (October 19, 2017): 33–38. http://dx.doi.org/10.5194/isprs-archives-xlii-3-w3-33-2017.

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This study attempted to classify three coniferous and ten broadleaved tree species by combining airborne laser scanning (ALS) data and multispectral images. The study area, located in Nagano, central Japan, is within the broadleaved forests of the Afan Woodland area. A total of 235 trees were surveyed in 2016, and we recorded the species, DBH, and tree height. The geographical position of each tree was collected using a Global Navigation Satellite System (GNSS) device. Tree crowns were manually detected using GNSS position data, field photographs, true-color orthoimages with three bands (red-g

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