Academic literature on the topic 'Photogrammetry'

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Journal articles on the topic "Photogrammetry"

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W. Schindler, Alexander. "Reflections on Photogrammetry." Membrana Journal of Photography, Vol. 3, no. 1 (2018): 34–41. http://dx.doi.org/10.47659/m4.034.art.

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This article presents an overview of the history, principles, and current developments in the media technological field of photogrammetry. By chronicling the isomorphic shift taking place in image capturing, we seek to show that photogrammetry has led the way forward in seeing technical images not only as two dimensional projections, but as three-dimensional model-based images. In the mid-nineteenth century, photogrammetry was first used for the documentation of architectural objects and it later became a standard technique in aerial photography. Although its fields of application have become more extensive, photogrammetry’s basic principle hasn’t fundamentally changed: it is still defined as the three- dimensional geometric reconstruction of two-dimensional photographs through the measuring of reference points. With digital technological standards and advances in camera technology, photogrammetric imaging nowadays is intensively used for object recognition in machine vision and robotics. Beside this, photogrammetry is also opening new possibilities for documentation in the fields of investigative arts, this being explored with a discussion on the “Ground Truth” project from Forensic Architecture. Keywords: investigative art, machine vision, object recognition, photogrammetry, photography
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Gruen, Armin W., and Horst A. Beyer. "REAL-TIME PHOTOGRAMMETRY AT THE DIGITAL PHOTOGRAMMETRIC STATION (DIPS) OF ETH ZURICH." Canadian Surveyor 41, no. 2 (June 1987): 181–99. http://dx.doi.org/10.1139/tcs-1987-0014.

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Real-time photogrammetry (RTP) is a non-contact three-dimensional measurement technique with a response time of one video cycle. As part of a research and development program for digital and real-time photogrammetry, the Institute of Geodesy and Photogrammety at the Swiss Federal Institute of Technology, Zurich, Switzerland, has established the Digital Photogrammetric Station (DIPS). The hardware and software of this development system is explained. Hardware aspects of solid-state cameras relevant to camera calibration for RTP are discussed. An off-line bundle adjustment program with additional parameters has been installed. An initial calibration and point positioning test using this program and existing image processing algorithms has been performed. The processing steps and results are analyzed. Accuracies, as computed from object space check points, in planimetry of 1:5000 or 0.09 pixel pitch, in depth of 0.08%c of object distance, have been achieved.
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Zheng, S. Y., L. Gui, X. N. Wang, and D. Ma. "A real-time photogrammetry system based on embedded architecture." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XL-5 (June 6, 2014): 633–38. http://dx.doi.org/10.5194/isprsarchives-xl-5-633-2014.

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In order to meet the demand of real-time spatial data processing and improve the online processing capability of photogrammetric system, a kind of real-time photogrammetry method is proposed in this paper. According to the proposed method, system based on embedded architecture is then designed: using FPGA, ARM+DSP and other embedded computing technology to build specialized hardware operating environment, transplanting and optimizing the existing photogrammetric algorithm to the embedded system, and finally real-time photogrammetric data processing is realized. At last, aerial photogrammetric experiment shows that the method can achieve high-speed and stable on-line processing of photogrammetric data. And the experiment also verifies the feasibility of the proposed real-time photogrammetric system based on embedded architecture. It is the first time to realize real-time aerial photogrammetric system, which can improve the online processing efficiency of photogrammetry to a higher level and broaden the application field of photogrammetry.
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Mao, Ying Dan. "Study of close-Range Photogrammetric Method Using Ordinary Digital Camera." Applied Mechanics and Materials 110-116 (October 2011): 4337–42. http://dx.doi.org/10.4028/www.scientific.net/amm.110-116.4337.

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With the progressive development of photogrammetric technology, the digital photogrammetric method based on the basic principles of digital imaging and photogrammetry has replaced the traditional photogrammetric mapping method and has been widely promoted and applied. In this paper, it studies further the issues about the image processing and photogrammetric algorithms of common digital cameras based on some research results in the traditional field of close-range photogrammetry, and verifies with actual examples the application of using digital cameras to implement the close-range photogrammetric method to engineering is feasible.
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Hou, Wenchao. "Inclined photogrammetry data lightweighting techniques." Theoretical and Natural Science 9, no. 1 (November 13, 2023): 100–105. http://dx.doi.org/10.54254/2753-8818/9/20240724.

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Since contemporary information-retrieval systems rely heavily on the content of titles and abstracts to identify relevant articles in literature searches, great care should be taken in constructing both. Inclined photogrammetry is an emerging surveying and mapping technology with the advantages of real 3D and multi-view angle, but the huge amount of inclined photogrammetry data makes the application scenarios limited, which leads to the high cost of acquiring inclined photogrammetry data. To address this problem, the lightweighting technology of inclined photogrammetric data is studied. Firstly, the characteristics of inclined photogrammetric data are analysed, the key technology of lightweighting inclined photogrammetric data is studied, and the compression algorithm based on the improved triangular mesh model and the compression algorithm based on the regional chunking model are proposed, which solves the problem of the large volume of inclined photogrammetric data and the inconvenience of using it. The experimental results in small-scale mapping show that the lightweighting of inclined photogrammetric data can be effectively achieved based on the improved triangular mesh model compression algorithm and the regional chunking model compression algorithm, and the optimised combination of the improved triangular mesh model compression algorithm and the regional chunking model compression algorithm can effectively achieve the lightweighting of inclined photogrammetric data.
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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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Patonis, Photis. "A Comparative Study on the Use of Smartphone Cameras in Photogrammetry Applications." Sensors 24, no. 22 (November 15, 2024): 7311. http://dx.doi.org/10.3390/s24227311.

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The evaluation of smartphone camera technology for close-range photogrammetry includes assessing captured photos for 3D measurement. In this work, experiments are conducted on many smartphones to study distortion levels and accuracy performance in close-range photogrammetry applications. Analytical methods and specialized digital tools are employed to evaluate the results. OpenCV functions estimate the distortions introduced by the lens. Diagrams, evaluation images, statistical quantities, and indicators are utilized to compare the results among sensors. The accuracy achieved in photogrammetry is examined using the photogrammetric bundle adjustment in a real-world application. In the end, generalized conclusions are drawn regarding this technology’s use in close-range photogrammetry applications.
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Alsadik, B., and N. A. Abdulateef. "EPIPOLAR GEOMETRY BETWEEN PHOTOGRAMMETRY AND COMPUTER VISION – A COMPUTATIONAL GUIDE." ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences V-5-2022 (May 18, 2022): 25–32. http://dx.doi.org/10.5194/isprs-annals-v-5-2022-25-2022.

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Abstract. Stereo image orientation is one of the major topics in computer vision, photogrammetry, and robotics. The stereo vision problem solution represents the basic element of the multi-view Structure from Motion SfM in computer vision and photogrammetry.A successfully reconstructed stereo image geometry is based on solving the epipolar constraint using the fundamental matrix which is based on the projective geometry in computer vision. However, in photogrammetry, the problem is well known as relative orientation and there is a different solution that is based on the euclidean geometry using collinearity or coplanarity equations.A lot of literature and discussions were found in the last decades to solve the epipolar geometry problem. However, there is still no clear description to compare between solutions introduced using both projective and euclidean solutions and which method of the relative image orientation is mostly preferred.To the best of our knowledge, computing and plotting the epipolar lines using photogrammetric collinearity and coplanarity equations is not shown before in the educational litrature. In this paper, a detailed mathematical solution of the epipolar geometry will be shown using both photogrammetric and computer vision techniques. This is aimed to remove any confusion for new learners in using the current methods in both scientific fields and show that using any technique should lead to comparable results with advantages and disadvantages.
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Bartoš, Karol, Katarína Pukanská, and Janka Sabová. "Overview of Available Open-Source Photogrammetric Software, its Use and Analysis." International Journal for Innovation Education and Research 2, no. 4 (April 30, 2014): 62–70. http://dx.doi.org/10.31686/ijier.vol2.iss4.170.

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The current technological era provides a wide range of geodetic procedures and methods to document the actual state of objects on the Earth surface and at the same time course and shape of surface itself. Digital photogrammetry is one of these technologies, it allows the use of methods such as single-image photogrammetry, stereo photogrammetry (optical scanning), convergent imaging and SfM method (structure-from-motion) with final data in the form of point clouds, digital spatial models, orthophotos and other derived documents. Similar outputs can be obtained also by other technologies, mainly by terrestrial laser scanning, whilst each of the two technologies offers certain advantages and disadvantages. Especially purchasing and operating costs are one of the major drawbacks of laser scanning (while being an advantage of photogrammetry). In recent years, there has been a significant increase in development and creation of new, freely accessible (open-source) photogrammetric software, thus reducing these financial demands even more. The aim of this paper is to provide a basic overview of some of the most suitable open-source photogrammetric software and point out their strengths and weaknesses.
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Pojda, Dariusz, Agnieszka Anna Tomaka, Leszek Luchowski, and Michał Tarnawski. "Integration and Application of Multimodal Measurement Techniques: Relevance of Photogrammetry to Orthodontics." Sensors 21, no. 23 (December 1, 2021): 8026. http://dx.doi.org/10.3390/s21238026.

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Multimodal imaging, including 3D modalities, is increasingly being applied in orthodontics, both as a diagnostic tool and especially for the design of intraoral appliances, where geometric accuracy is very important. Laser scanners and other precision 3D-imaging devices are expensive and cumbersome, which limits their use in medical practice. Photogrammetry, using ordinary 2D photographs or video recordings to create 3D imagery, offers a cheaper and more convenient alternative, replacing the specialised equipment with handy consumer cameras. The present study addresses the question of to what extent, and under what conditions, this technique can be an adequate replacement for the 3D scanner. The accuracy of simple surface reconstruction and of model embedding achieved with photogrammetry was verified against that obtained with a triangulating laser scanner. To roughly evaluate the impact of image imperfections on photogrammetric reconstruction, the photographs for photogrammetry were taken under various lighting conditions and were used either raw or with a blur-simulating defocus. Video footage was also tested as another 2D-imaging modality feeding data into photogrammetry. The results show the significant potential of photogrammetric techniques.
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Dissertations / Theses on the topic "Photogrammetry"

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Masaad, Elshami M. "Close-range photogrammetry based on digital imagery analysis : real-time photogrammetric measurements from video imagery." Thesis, University of Manchester, 1991. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.338480.

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Boman, Jakob. "Tree Species ClassicationUsing Terrestrial Photogrammetry." Thesis, Umeå universitet, Institutionen för datavetenskap, 2013. http://urn.kb.se/resolve?urn=urn:nbn:se:umu:diva-80792.

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This thesis investigates how texture classification can be used to automatically classify tree species from image of bark texture. The texture analysis methods evaluated in the thesis are, grey level co-occurrence matrix (GLCM), two different wavelet texture analysis methods and finally the scale-invariant feature transform. To evaluate the methods two classifiers, a linear support vector machine (SVM) and a kernel based import vector machine (IVM) was used. The tree species that were classified were Scotch Pine and Norwegian Spruce and the auxiliary class ground. Three experiments were conducted to test the methods. The experiments used subimages of bark extracted from terrestrial photogrammetry images. For each sub-image, the X ,Y and Z coordinates were available. Thefirst experiment compared the methods by classifying each sub-image individually based on image data alone. In the second experiment the spatial data was added. Additionally feature selection was performed in both experiments to determine the most discriminating features. In the final experiment individual trees were classified by clustering all data from each tree.For sub-image classification, the addition of spatial data increased the overall accuracy for the best method from 75.7% to 94.9% The best method was IVM on GLCM textural features. The most discriminating textural feature was homogeneity in the horizontal direction. The best methods to classify individual trees were SVM with GLCM with an overall accuracy of 88%.In summary, the methods was found to be promising for tree bark classification. However, the individual tree results were based on a low number of trees. To establish the methods' true usefulness, testing on a larger number of trees is necessary.
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Smith, Douglas G. "Digital photogrammetry for elevation modelling." Thesis, University of Nottingham, 1997. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.362992.

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Kernell, Björn. "Improving Photogrammetry using Semantic Segmentation." Thesis, Linköpings universitet, Datorseende, 2018. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-148491.

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3D reconstruction is the process of constructing a three-dimensional model from images. It contains multiple steps where each step can induce errors. When doing 3D reconstruction of outdoor scenes, there are some types of scene content that regularly cause problems and affect the resulting 3D model. Two of these are water, due to its fluctuating nature, and sky because of it containing no useful (3D) data. These areas cause different problems throughout the process and do generally not benefit it in any way. Therefore, masking them early in the reconstruction chain could be a useful step in an outdoor scene reconstruction pipeline. Manual masking of images is a time-consuming and boring task and it gets very tedious for big data sets which are often used in large scale 3D reconstructions. This master thesis explores if this can be done automatically using Convolutional Neural Networks for semantic segmentation, and to what degree the masking would benefit a 3D reconstruction pipeline.
3D-rekonstruktion är teknologin bakom att skapa 3D-modeller utifrån bilder. Det är en process med många steg där varje steg kan medföra fel. Vid 3D-rekonstruktion av stora utomhusmiljöer finns det vissa typer av bildinnehåll som ofta ställer till problem. Två av dessa är vatten och himmel. Vatten är problematiskt då det kan fluktuera mycket från bild till bild samt att det kan innehålla reflektioner som ger olika utseenden från olika vinklar. Himmel å andra sidan ska aldrig ge upphov till 3D-information varför den lika gärna kan maskas bort. Manuell maskning av bilder är väldigt tidskrävande och dyrt. Detta examensarbete undersöker huruvida denna maskning kan göras automatiskt med Faltningsnät för Semantisk Segmentering och hur detta skulle kunna förbättra en 3D-rekonstruktionsprocess.
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Forno, C. "A camera for high accuracy photogrammetry." Thesis, University of Surrey, 1990. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.277157.

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Evans, S. E. K. "Applied photogrammetry in orthopaedic implant manufacture." Thesis, University of Liverpool, 2018. http://livrepository.liverpool.ac.uk/3020338/.

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Bergsjö, Joline. "Photogrammetric point cloud generation and surface interpolation for change detection." Thesis, KTH, Geodesi och satellitpositionering, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-190882.

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In recent years the science revolving image matching algorithms has gotten an upswing mostly due to its benefits in computer vision. This has led to new opportunities for photogrammetric methods to compete with LiDAR data when it comes to 3D-point clouds and generating surface models. In Sweden a project to create a high resolution national height model started in 2009 and today almost the entirety of Sweden has been scanned with LiDAR sensors. The objective for this project is to achieve a height model with high spatial resolution and high accuracy in height. As for today no update of this model is planned in the project so it’s up to each municipality or company who needs a recent height model to update themselves. This thesis aims to investigate the benefits and shortcomings of using photogrammetric measures for generating and updating surface models. Two image matching software are used, ERDAS photogrammetry and Spacemetric Keystone, to generate a 3D point cloud of a rural area in Botkyrka municipality. The point clouds are interpolated into surface models using different interpolation percentiles and different resolutions. The photogrammetric point clouds are evaluated on how well they fit a reference point cloud, the surfaces are evaluated on how they are affected by the different interpolation percentiles and image resolutions. An analysis to see if the accuracy improves when the point cloud is interpolated into a surface. The result shows that photogrammetric point clouds follows the profile of the ground well but contains a lot of noise in the forest covered areas. A lower image resolution improves the accuracy for the forest feature in the surfaces. The results also show that noise-reduction is essential to generate a surface with decent accuracy. Furthermore, the results identify problem areas in dry deciduous forest where the photogrammetric method fails to capture the forest.
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Seedahmed, Gamal H. "On the suitability of conic sections in a single-photo resection, camera calibration, and photogrammetric triangulation." Columbus, Ohio Ohio State University, 2004. http://rave.ohiolink.edu/etdc/view?acc%5Fnum=osu1073186865.

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Thesis (Ph. D.)--Ohio State University, 2004.
Title from first page of PDF file. Document formatted into pages; contains xix, 138 p.; also includes graphics (some col). Includes abstract and vita. Advisor: Anton F. Schenk, Dept. of Geodetic Science and Surveying. Includes bibliographical references (p. 130-138).
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Kuzu, Yasemin. "Volumetric object reconstruction by means of photogrammetry." [S.l.] : [s.n.], 2004. http://deposit.ddb.de/cgi-bin/dokserv?idn=970680333.

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Ireland, Darren Scott. "Mass estimation of Weddell Seals through photogrammetry." Thesis, Montana State University, 2004. http://etd.lib.montana.edu/etd/2004/ireland/IrelandD1204.pdf.

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Food resources of pelagic marine predators have traditionally been difficult to monitor and annual monitoring of food-resource availability is not currently feasible for the Weddell seal (Leptonychotes wedellii) population in Erebus Bay, Antarctica. Body mass measurements of parturient females, or their weaned pups, on an annual basis may be used as an indicator of food availability during the previous year and also provide a link between population vital rates and environmental fluctuation. Traditional methods of acquiring mass measurements, including physical restraint and/or chemical immobilization, limit the ability to sample adequately large numbers of individuals from the population of interest. Previous researchers have developed methods to estimate the mass of large seals using scaled photographs, but later application of these methods have not explicitly included uncertainty around estimates derived from predictive equations. I therefore developed the equipment and methods for estimating the mass of Weddell seals using digital photographs and image-analysis software. I then applied the method at a small scale to determine how prediction intervals may be incorporated into calculations based on mass estimates and what affect the explicit use of these intervals would have on the ability to detect differences between the mass of individuals or groups of seals. Scaled photographs of adult female and pup Weddell seals were taken from overhead, ground-level side, and ground-level head or tail perspectives. Morphometric measurements from scaled photographs (photogrammetric measurements) were then correlated using regression against the measured mass at the time of photography. Sampling occurred throughout the nursing period in order to build regression models over a wide range of masses. Resulting regression models predict the mass of adult female seals to within ±13.8% of estimated mass, and ±25.9% of estimated mass for pups. In an application of the method, differences in mass transfer between experienced and inexperienced maternal females and their pups were detected when prediction intervals were explicitly included. Detection of differences between individual seals may not be possible when prediction intervals are included with mass estimates, but estimated mass measurements should be useful for comparing mean differences across a population between years in relation to environmental variation.
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Books on the topic "Photogrammetry"

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Linder, Wilfried. Digital Photogrammetry. Berlin, Heidelberg: Springer Berlin Heidelberg, 2009. http://dx.doi.org/10.1007/978-3-540-92725-9.

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Linder, Wilfried. Digital Photogrammetry. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-06725-3.

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Linder, Wilfried. Digital Photogrammetry. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-50463-5.

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Yves, Egels, ed. Digital photogrammetry. London: Taylor & Francis, 2002.

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Kasser, Michel. Digital Photogrammetry. London: Taylor & Francis Group Plc, 2004.

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Schenk, Toni. Digital photogrammetry. Laurelville, Ohio: TerraScience, 1999.

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Harvey, Robin. Photogrammetry in orienteering. Sollentuna, Sweden: International Orienteering Federation, 1993.

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M, Karara H., and Adams L. P, eds. Non-topographic photogrammetry. 2nd ed. Falls Church, Va: American Society for Photogrammetry and Remote Sensing, 1989.

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Sensing, American Society for Photogrammetry and Remote. Digital photogrammetry: An addendum to the manual of photogrammetry. Bethesda: American Society for Photogrammetry and Remote Sensing, 1996.

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Cliff, Greve, and American Society of Photogrammetry and Remote Sensing., eds. Digital photogrammetry: An addendum to the Manual of photogrammetry. Bethesda, MD: American Society of Photogrammetry and Remote Sensing, 1996.

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Book chapters on the topic "Photogrammetry"

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Redweik, Paula. "Photogrammetry." In Sciences of Geodesy - II, 133–83. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-28000-9_4.

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Shekhar, Shashi, and Hui Xiong. "Photogrammetry." In Encyclopedia of GIS, 875. Boston, MA: Springer US, 2008. http://dx.doi.org/10.1007/978-0-387-35973-1_984.

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Sajinkumar, K. S., and Thomas Oommen. "Photogrammetry." In Encyclopedia of Earth Sciences Series, 1–2. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-12127-7_221-1.

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Sholarin, Ebenezer A., and Joseph L. Awange. "Photogrammetry." In Environmental Science and Engineering, 213–30. Cham: Springer International Publishing, 2015. http://dx.doi.org/10.1007/978-3-319-27651-9_10.

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Thieler, E. Robert, and Cheryl J. Hapke. "Photogrammetry." In Encyclopedia of Earth Sciences Series, 1367–74. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-319-93806-6_244.

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Thieler, E. Robert, and Cheryl J. Hapke. "Photogrammetry." In Encyclopedia of Earth Sciences Series, 1–8. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-48657-4_244-2.

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Thompson, Ren A., and Steve P. Schilling. "Photogrammetry." In Volcano Deformation, 195–221. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-49302-0_6.

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Kellie, Andrew, and Wayne Valentine. "Photogrammetry." In The Surveying Handbook, 634–66. Boston, MA: Springer US, 1987. http://dx.doi.org/10.1007/978-1-4757-1188-2_18.

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Stevens, D. "Photogrammetry." In Monitoring Building Structures, 32–67. Boston, MA: Springer US, 1992. http://dx.doi.org/10.1007/978-1-4757-5894-8_3.

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Pacheco, Dan. "Photogrammetry." In Experimenting with Emerging Media Platforms, 125–42. New York: Routledge, 2023. http://dx.doi.org/10.4324/9781003247012-10.

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Conference papers on the topic "Photogrammetry"

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Talakayala, Paul Jabez, Badri MSV, Sree Sharmila T, and Vasudhevan S. "Photogrammetry: Insights on 3D Model Generation." In 2024 Global Conference on Communications and Information Technologies (GCCIT), 1–7. IEEE, 2024. https://doi.org/10.1109/gccit63234.2024.10862214.

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Li, Shilong, Ke Tian, Mohammed Zia Jalaludeen, and Síle Nic Chormaic. "Photogrammetry of Asymmetric Microcavities." In Conference on Lasers and Electro-Optics/Pacific Rim. Washington, D.C.: Optica Publishing Group, 2022. http://dx.doi.org/10.1364/cleopr.2022.ctha8c_06.

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Optical response of asymmetric microcavities is determined by their external geometry. Here, we propose to perform a photogrammetric study of asymmetric microcavities as a feasible way to obtain the geometry. The entire process is simulated and the results are presented. Such a photogrammetric study will benefit both optical microcavity and photogrammetry applications.
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Esmaeili, Human, and Harold Thwaites. "Virtual photogrammetry." In 2016 22nd International Conference on Virtual System & Multimedia (VSMM). IEEE, 2016. http://dx.doi.org/10.1109/vsmm.2016.7863153.

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Murray, Owen. "FRESCO PHOTOGRAMMETRY: DOCUMENTING THE IMPERIAL CULT CHAMBER AT LUXOR TEMPLE." In ARQUEOLÓGICA 2.0 - 9th International Congress & 3rd GEORES - GEOmatics and pREServation. Editorial Universitat Politécnica de Valéncia: Editorial Universitat Politécnica de Valéncia, 2021. http://dx.doi.org/10.4995/arqueologica9.2021.12240.

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This paper discusses the photogrammetric and epigraphic documentation of the late-Roman frescoes in the Imperial Cult Chamber at Luxor Temple by the University of Chicago’s Oriental Institute, Epigraphic Survey Project. It presents a brief history of the room and overview of research related to it, while relaying the epigraphic documentation technique and methodology employed, and the use of photogrammetry to achieve those objectives.
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Skabek, Krzysztof, Pawel Ozimek, and Dominika Rola. "Photogrammetric vs. lidar methods for augmented reality." In 38th ECMS International Conference on Modelling and Simulation. ECMS, 2024. http://dx.doi.org/10.7148/2024-0513.

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This paper presents a comparison of methods for locating virtual objects in augmented reality. Mobile devices were used: IPad Pro with lidar and, on the other hand, smartphones with classical cameras to obtain photogrammetric structures. FARO laser scans were used as reference representations to compare the obtained structures. Spatial stability tests of the embedded objects were carried out using Vuforia and Immersal systems. The overall performance of these technologies are comparable, however, LiDAR offers greater accuracy compared to photogrammetry, thanks to more stable and accurate distance measurements. On the other hand, photogrammetry may be more accessible and attractive because it does not require any special sensors.
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Boesemann, Werner. "Photogrammetry in the line: recent developments in industrial photogrammetry." In Optical Metrology, edited by Wolfgang Osten, Malgorzata Kujawinska, and Katherine Creath. SPIE, 2003. http://dx.doi.org/10.1117/12.499418.

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Peipe, Juergen, Carl T. Schneider, and K. Sinnreich. "Digital photogrammetric station DPA: a measurement system for close-range photogrammetry." In Optical 3D Measurement Techniques II: Applications in Inspection, Quality Control, and Robotics, edited by Armin Gruen and Heribert Kahmen. SPIE, 1994. http://dx.doi.org/10.1117/12.169850.

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Mijatović, Tatjana. "PHOTOGRAMMETRY CASE STUDIES." In VIRTUAL ARCHAEOLOGY. SIBERIAN FEDERAL UNIVERSITY, 2021. http://dx.doi.org/10.17516/sibvirarch-005.

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Conservation of cultural heritage requires a critical understanding of the significance, condition, and complexity of a place. Documentation is an essential element in building this understanding. It is a critical component of the conservation planning process and provides a long-term foundation for the monitoring, maintenance, and management of a site. Equally important, good documentation ensures that knowledge of heritage places will be passed onto future generations. Good conservation of our cultural heritage is based on informed decisions. The information needed to make these decisions is, in part, obtained through the use of documentation and recording tools. Knowledge of these tools and their use is readily available; however, many of the decision makers are unaware, uninformed, or unconvinced of their benefits. Several reasons for this include a misunderstanding of the tools and techniques or intimidation by technology or language. There is no universally accepted definition of photogrammetry.
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Vincent, Mahamadaly, Urbina Bareto Isabel, Fréchon Louis, Pinel Romain, Garnier Rémi, and Deslarzes Kenneth. "Underwater Photogrammetry as an Environmental Assessment Tool to Monitor Coral Reefs and Artificial Structures." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31025-ms.

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Abstract Over the past decade, photogrammetry has grown considerably thanks to technical advances in digital cameras and computing performance. Popular in terrestrial applications with the development of UAV acquisition, photogrammetry provides access to accurate scene reconstruction, high-resolution measurements, and temporal comparisons with a wide range of geolocated and scaled 2D and 3D supports. Nowadays, photogrammetry represents a particular challenge in the underwater field such as environmental monitoring, marine construction, technical inspection, and archaeology. Our study aims to develop underwater acquisition protocols and new tools for marine resources surveys and management to understand the role of 3D characteristics in both coral reefs and artificial structures. Two specific protocols were designed and optimized to reconstruct from coral colonies to coral reefs and artificial structures (up to 500m²) with a mean resolution of 0.05cm/pixel. Here several quantitative descriptors based on 2D and 3D metrics (such as slope, length, surface, volume, rugosity) were calculated for morphological studies and temporal comparisons. The photogrammetric technique now offers higher quality and accuracy tools compared to traditional survey methods. These advantages make possible to access to new scientific surveys of underwater ecosystems and as environmental management tools may prove to be valuable for future.
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Pottler, Klaus, Eckhard Lu¨pfert, Glen H. G. Johnston, and Mark R. Shortis. "Photogrammetry: A Powerful Tool for Geometric Analysis of Solar Concentrators and Their Components." In ASME 2004 International Solar Energy Conference. ASMEDC, 2004. http://dx.doi.org/10.1115/isec2004-65117.

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Digital close range photogrammetry has proven to be a precise and efficient measurement technique for the assessment of shape accuracies of solar concentrators and their components. The combination of high quality mega-pixel digital still cameras, appropriate software and calibrated reference scales in general is sufficient to provide coordinate measurements with precisions of 1:50,000 or better. The extreme flexibility of photogrammetry to provide high accuracy 3-D coordinate measurements over almost any scale makes it particularly appropriate for the measurement of solar concentrator systems. It can also provide information for the analysis of curved shapes and surfaces, which can be very difficult to achieve with conventional measurement instruments. The paper gives an overview of quality indicators for photogrammetric networks, which have to be considered during the data evaluation to augment the measurement precision. A selection of measurements done on whole solar concentrators and their components are presented. The potential of photogrammetry is demonstrated by presenting measured effects arising from thermal expansion and gravitational forces on selected components. The measured surface data can be used to calculate slope errors and undertake raytrace studies to compute intercept factors and assess concentrator qualities.
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Reports on the topic "Photogrammetry"

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Lesgidi, Persefoni. Interpreting the Significance of Underwater Archaeological Photogrammetry. Honor Frost Foundation, 2020. http://dx.doi.org/10.33583/mags2019.07.

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Salisbury, J. B., A. M. Herbst, and Katreen Wikstrom Jones. November 30, 2018, Mw 7.1 Anchorage earthquake photogrammetry. Alaska Division of Geological & Geophysical Surveys, 2019. http://dx.doi.org/10.14509/30270.

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Ferguson, Chris J., and E. S. Getson. Application of Photogrammetry of F-14D Store Separation. Fort Belvoir, VA: Defense Technical Information Center, May 1994. http://dx.doi.org/10.21236/ada284154.

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Feeney, Robert, James Bethel, and Boudewijn Gelder. Use of GPS to Enhance Mapping by Photogrammetry. West Lafayette, IN: Purdue University, 1996. http://dx.doi.org/10.5703/1288284313340.

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Sheriff, Lassana, and /City Coll., N.Y. /SLAC. Calibration of the Nikon 200 for Close Range Photogrammetry. Office of Scientific and Technical Information (OSTI), August 2010. http://dx.doi.org/10.2172/992932.

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Field, Jim G. Using Photogrammetry to Estimate Tank Waste Volumes from Video. Office of Scientific and Technical Information (OSTI), March 2013. http://dx.doi.org/10.2172/1079923.

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Schultz-Fellenz, Emily S., Ryan Coppersmith, Erika Swanson, James Cooley, Michael Richard Grimler, and Katherine Elizabeth Norskog. SPE-5 Pre- and Post-Shot UAS Photogrammetry Quick Look. Office of Scientific and Technical Information (OSTI), June 2016. http://dx.doi.org/10.2172/1258357.

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Ward, Andrew, J. Newman, and G. Herring. Assessment of LiDAR- and photogrammetry-based airfield roughness profiling techniques. Engineer Research and Development Center (U.S.), July 2019. http://dx.doi.org/10.21079/11681/33370.

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Eeckman, Axel. Studying woodworking technology on ancient shipwrecks through digital photography and photogrammetry. Honor Frost Foundation, 2020. http://dx.doi.org/10.33583/mags2019.02.

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Bruder, Brittany L., Katherine L. Brodie, Tyler J. Hesser, Nicholas J. Spore, Matthew W. Farthing, and Alexander D. Renaud. guiBath y : A Graphical User Interface to Estimate Nearshore Bathymetry from Hovering Unmanned Aerial System Imagery. Engineer Research and Development Center (U.S.), February 2021. http://dx.doi.org/10.21079/11681/39700.

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This US Army Engineer Research and Development Center, Coastal and Hydraulics Laboratory, technical report details guiBathy, a graphical user interface to estimate nearshore bathymetry from imagery collected via a hovering Unmanned Aerial System (UAS). guiBathy provides an end-to-end solution for non-subject-matter-experts to utilize commercia-off-the-shelf UAS to collect quantitative imagery of the nearshore by packaging robust photogrammetric and signal-processing algorithms into an easy-to-use software interface. This report begins by providing brief background on coastal imaging and the photogrammetry and bathymetric inversion algorithms guiBathy utilizes, as well as UAS data collection requirements. The report then describes guiBathy software specifications, features, and workflow. Example guiBathy applications conclude the report with UAS bathymetry measurements taken during the 2020 Atlantic Hurricane Season, which compare favorably (root mean square error = 0.44 to 0.72 m; bias = -0.35 to -0.11 m) with in situ survey measurements. guiBathy is a standalone executable software for Windows 10 platforms and will be freely available at www.github.com/erdc.
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