Academic literature on the topic 'Photogrammetie'
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Journal articles on the topic "Photogrammetie"
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.
Full textZheng, 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.
Full textMao, 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.
Full textH, Ragg,. "3D Image Vector - Terrestrial photogrammetry without ground control points 3D ImageVector - Terres- trische Photogrammetrie ohne Passpunkte." GIS Business 11, no. 6 (December 14, 2016): 30–31. http://dx.doi.org/10.26643/gis.v11i6.5212.
Full textKapica, Roman, Dana Vrublová, and Markéta Michalusová. "PHOTOGRAMMETRIC DOCUMENTATION OF CZECHOSLOVAK BORDER FORTIFICATIONS AT HLUČÍN-DARKOVIČKY." Geodesy and Cartography 39, no. 2 (June 28, 2013): 72–79. http://dx.doi.org/10.3846/20296991.2013.806243.
Full textHe, Hai Qing, and Peng Gen Cheng. "Robust and Efficient Solution to Absolute Orientation in Low-Altitude Photogrammetry." Applied Mechanics and Materials 631-632 (September 2014): 456–61. http://dx.doi.org/10.4028/www.scientific.net/amm.631-632.456.
Full textZawieska, Dorota, and Zdzisław Kurczyński. "Photogrammetry at the Warsaw University of Technology – Past and Present." Reports on Geodesy and Geoinformatics 100, no. 1 (June 1, 2016): 221–34. http://dx.doi.org/10.1515/rgg-2016-0015.
Full textDlesk, A., K. Vach, and P. Holubec. "ANALYSIS OF POSSIBILITIES OF LOW-COST PHOTOGRAMMETRY FOR INTERIOR MAPPING." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-5/W3 (December 5, 2019): 27–31. http://dx.doi.org/10.5194/isprs-archives-xlii-5-w3-27-2019.
Full textGunn, Michael J., and Ronald S. Hicks. "Industrial Photogrammetry—Its Application to Shipbuilding." Marine Technology and SNAME News 25, no. 03 (July 1, 1988): 229–36. http://dx.doi.org/10.5957/mt1.1988.25.3.229.
Full textBartoš, 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.
Full textDissertations / Theses on the topic "Photogrammetie"
Putze, Torsten. "Geometrische und stochastische Modelle zur Optimierung der Leistungsfähigkeit des Strömungsmessverfahrens 3D-PTV." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2009. http://nbn-resolving.de/urn:nbn:de:bsz:14-ds-1231402875520-12137.
Full text3D Particle Tracking Velocimetry (3D PTV) is an image based method for flow field determination. It is based on seeding a flow with tracer particles and recording the flow with a multi camera system. The results are 3D trajectories of a large number of particles for a statistical analysis of the flow. The thesis shows different novel models to increase the spectrum of applications and to optimize efficiency of 3D PTV. Central aspects are the use of the mirror system to generate a virtual multi camera system, the modelling of complex interfaces of multimedia photogrammetry, a probability based tracking method and a novel method for tomographic reconstruction of volume raster data. The improved models are tested in three real testing facilities and with synthetic data. Using a beam splitter in front of the camera lens and deflecting mirrors arranged in the optical path, a four headed virtual camera system can be generated. This method is characterised by its economic efficiency and by the fact that a synchronisation is not necessary. These facts are important especially when using high speed cameras. When observing phenomena in water, there will be refraction at the different interfaces. This has to be taken into account and modelled for each application. Approaches which use correction terms are not suitable to handle complex optical interfaces. The developed approach is based on a multiple refraction ray tracing with known interface parameters and camera orientations. Mostly the multi image matching of particles is performed using epipolar geometry. Caused by the not stable camera orientation or a very high particle density this geometric properties are not sufficient to solve the ambiguities. Using further geometrical radiometrical and physical properties of particles, the determination of the 3D trajectories can be performed. After the analysis of different properties those of them are chosen which are suitable for spatio-temporal matching. 3D PTV bases on the discretisation of particle images in image space and the following object coordinate determination. A raster based approach is the tomographic reconstruction of the volume. Here the light intensity distribution in the volume will be reconstructed. Afterwards the flow information is determined from the differences in successive 3D images. Using tomographic reconstruction techniques a higher particle density can be analysed. The developed approach bases on a slice by slice rectification of the camera images and on a following assembly of the volume. The developed models and approaches are tested at different testing facilities. These differ in size (0.5 dm³ – 20 dm³ – 130 m³) and flow velocities (0.3 m/s – 7 m/s – 0.5 m/s)
Putze, Torsten. "Geometrische und stochastische Modelle zur Optimierung der Leistungsfähigkeit des Strömungsmessverfahrens 3D-PTV." Doctoral thesis, Technische Universität Dresden, 2008. https://tud.qucosa.de/id/qucosa%3A23711.
Full text3D Particle Tracking Velocimetry (3D PTV) is an image based method for flow field determination. It is based on seeding a flow with tracer particles and recording the flow with a multi camera system. The results are 3D trajectories of a large number of particles for a statistical analysis of the flow. The thesis shows different novel models to increase the spectrum of applications and to optimize efficiency of 3D PTV. Central aspects are the use of the mirror system to generate a virtual multi camera system, the modelling of complex interfaces of multimedia photogrammetry, a probability based tracking method and a novel method for tomographic reconstruction of volume raster data. The improved models are tested in three real testing facilities and with synthetic data. Using a beam splitter in front of the camera lens and deflecting mirrors arranged in the optical path, a four headed virtual camera system can be generated. This method is characterised by its economic efficiency and by the fact that a synchronisation is not necessary. These facts are important especially when using high speed cameras. When observing phenomena in water, there will be refraction at the different interfaces. This has to be taken into account and modelled for each application. Approaches which use correction terms are not suitable to handle complex optical interfaces. The developed approach is based on a multiple refraction ray tracing with known interface parameters and camera orientations. Mostly the multi image matching of particles is performed using epipolar geometry. Caused by the not stable camera orientation or a very high particle density this geometric properties are not sufficient to solve the ambiguities. Using further geometrical radiometrical and physical properties of particles, the determination of the 3D trajectories can be performed. After the analysis of different properties those of them are chosen which are suitable for spatio-temporal matching. 3D PTV bases on the discretisation of particle images in image space and the following object coordinate determination. A raster based approach is the tomographic reconstruction of the volume. Here the light intensity distribution in the volume will be reconstructed. Afterwards the flow information is determined from the differences in successive 3D images. Using tomographic reconstruction techniques a higher particle density can be analysed. The developed approach bases on a slice by slice rectification of the camera images and on a following assembly of the volume. The developed models and approaches are tested at different testing facilities. These differ in size (0.5 dm³ – 20 dm³ – 130 m³) and flow velocities (0.3 m/s – 7 m/s – 0.5 m/s).
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.
Full textBergsjö, 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.
Full textHaala, Norbert. "Multi-Sensor-Photogrammetrie." [S.l. : s.n.], 2005. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-26984.
Full textSeedahmed, 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.
Full textTitle 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).
Kersten, Thomas. "Untersuchungen zur Qualität und Genauigkeit von 3D-Punktwolken für die 3D-Objektmodellierung auf der Grundlage von terrestrischem Laserscanning und bildbasierten Verfahren." Doctoral thesis, Saechsische Landesbibliothek- Staats- und Universitaetsbibliothek Dresden, 2018. http://nbn-resolving.de/urn:nbn:de:bsz:14-qucosa-231616.
Full text3D point clouds have significantly changed the surveying of objects in the last 25 years. Since in many applications, the individual point measurements were replaced through area-based measurements in form of point clouds, a paradigm shift in surveying has been fulfilled. This change in measurement methodology was made possible with the rapid developments in instrument manufacturing and computer technology. Today, airborne and terrestrial laser scanners, as well as hand-held 3D scanners directly generate dense point clouds, while dense point clouds are indirectly derived from photos of image-based recording systems used for detailed 3D object reconstruction in almost any scale. In this work, investigations into the geometric accuracy of some of these scanning systems are pre-sented to document and evaluate their performance. While terrestrial laser scanners mostly met the accuracy specifications in the investigations, 3-5 mm for 3D points and distance measurements as defined in the technical specifications of the system manufacturer, significant differences are shown, however, by many tested hand-held 3D scanners. These observed deviations indicate a certain geometric instability of the measuring system, caused either by the construction/manufacturing and/or insufficient calibration (particularly with regard to the scale). It is apparent that most of the hand-held 3D scanners are at the beginning of the technical development, which still offers potential for optimization. The image-based recording systems have been increasingly accepted by the market as flexible and efficient alternatives to laser scanning systems for about ten years. The research of image-based recording and evaluation methods presented in this work has shown that these coloured 3D point clouds correspond to the accuracy of the laser scanner depending on the image scale and surface material of the object. Compared with the results of most hand-held 3D scanners, point clouds gen-erated by image-based recording techniques exhibit superior quality. However, the Creaform HandySCAN 700, based on a photogrammetric recording principle (stereo photogrammetry), shows as the solitary exception of the hand-held 3D scanners very good results with better than 30 micrometres on average, representing accuracies even in the range of the reference systems (here structured light projection systems). The developed test procedures and the corresponding investigations have been practically proven for both terrestrial and hand-held 3D scanners, since comparable results can be obtained using the VDI/VDE guidelines 2634, which allows statements about the performance of the tested scanning system for practice-oriented users. For object scans comprised of multiple single scan acquired in static mode, errors of the scan registration have to be added, while for scans collected in the kine-matic mode the accuracies of the (absolute) position sensors will be added on the error budget of the point cloud. A careful system calibration of various positioning and recording sensors of the mobile multi-sensor system used in kinematic mode allows a 3D point accuracy of about 3-5 cm, which if necessary can be improved with higher quality sensors under good conditions. With static scans an accuracy of better than 1 cm for 3D points can be achieved surpassing the potential of mobile recording systems, which are economically much more efficient if larger areas have to be scanned. The 3D point clouds are the basis for object reconstruction in two different ways: a) engineering modelling as generalized CAD construction through geometric primitives and b) mesh modelling by triangulation of the point clouds for the exact representation of the surface. Deviations up to 10 cm (and possibly higher) from the nominal value can be created very quickly through the generalization in the CAD construction, but on the other side a significant reduction of data and a topological struc-turing can be achieved by fitting the point cloud into geometric primitives. However, investigations have shown that the number of polygons can be reduced to 25% and even 10% of the original data in the mesh triangulation using intelligent polygon decimation algorithms (e.g. curvature based) depending on the surface characteristic of the object, without having too much impact on the visual and geometric quality of the result. Depending on the object size, deviations of less than one milli-metre (e.g. for archaeological finds) up to 5 cm on average for larger objects can be achieved. In the future point clouds can form an important basis for the construction of the environment for many virtual reality applications, where the visual appearance is more important than the perfect geometric accuracy of the modelled objects
Haala, Norbert [Verfasser]. "Multi-Sensor-Photogrammetrie / Norbert Haala." München : Beck, 2005. http://d-nb.info/1006371540/34.
Full textSchade, Holger [Verfasser]. "Neigungsbestimmung mit GPS für die Photogrammetrie / vorgelegt von Holger Schade. Institut für Photogrammetrie der Universität Stuttgart." Stuttgart : IfP [u.a.], 2002. http://d-nb.info/980548438/34.
Full textSchade, Holger. "Neigungsbestimmung mit GPS für die Photogrammetrie." [S.l. : s.n.], 2002. http://nbn-resolving.de/urn:nbn:de:bsz:93-opus-27197.
Full textBooks on the topic "Photogrammetie"
Linder, Wilfried. Digital photogrammetry: A practical course. 3rd ed. Berlin: Springer, 2009.
Find full textHeipke, Christian, ed. Photogrammetrie und Fernerkundung. Berlin, Heidelberg: Springer Berlin Heidelberg, 2017. http://dx.doi.org/10.1007/978-3-662-47094-7.
Full textA, Dewitt Bon, ed. Elements of photogrammetry: With applications in GIS. 3rd ed. Boston: McGraw-Hill, 2000.
Find full textLinder, Wilfried. Digital Photogrammetry. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-06725-3.
Full textLinder, Wilfried. Digital Photogrammetry. Berlin, Heidelberg: Springer Berlin Heidelberg, 2016. http://dx.doi.org/10.1007/978-3-662-50463-5.
Full textBook chapters on the topic "Photogrammetie"
Schuth, Michael, and Wassili Buerakov. "Photogrammetrie." In Handbuch Optische Messtechnik, 75–100. München: Carl Hanser Verlag GmbH & Co. KG, 2017. http://dx.doi.org/10.3139/9783446436619.004.
Full textShekhar, 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.
Full textSchindler, Konrad, and Wolfgang Förstner. "Photogrammetry." In Computer Vision, 1–3. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-03243-2_139-1.
Full textSchindler, Konrad, and Wolfgang Förstner. "Photogrammetry." In Computer Vision, 597–99. Boston, MA: Springer US, 2014. http://dx.doi.org/10.1007/978-0-387-31439-6_139.
Full textSchmidt, Dietmar, Peter Herms, Anke Steinbach, and Friedrich Kühn. "Photogrammetry." In Environmental Geology, 73–95. Berlin, Heidelberg: Springer Berlin Heidelberg, 2007. http://dx.doi.org/10.1007/978-3-540-74671-3_4.
Full textKellie, Andrew, and Wayne Valentine. "Photogrammetry." In The Surveying Handbook, 486–509. Boston, MA: Springer US, 1995. http://dx.doi.org/10.1007/978-1-4615-2067-2_20.
Full textSajinkumar, K. S., and Thomas Oommen. "Photogrammetry." In Encyclopedia of Earth Sciences Series, 713–14. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-73568-9_221.
Full textMerlin, Mark D., Patrick D. Nunn, John C. Kraft, Donald L. Forbes, Ian Shennan, E. Robert Thieler, Cheryl J. Hapke, et al. "Photogrammetry." In Encyclopedia of Coastal Science, 764–69. Dordrecht: Springer Netherlands, 2005. http://dx.doi.org/10.1007/1-4020-3880-1_244.
Full textSajinkumar, 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.
Full textThompson, 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.
Full textConference papers on the topic "Photogrammetie"
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.
Full textToglia, Angelo, Gregory D. Stephens, David J. Michalski, and Joy L. Rodriguez. "Applications of PhotoModeler in Accident Reconstruction." In ASME 2005 International Mechanical Engineering Congress and Exposition. ASMEDC, 2005. http://dx.doi.org/10.1115/imece2005-79250.
Full textPottler, 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.
Full textVincent, 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.
Full textValero, Enrique, Alan Forster, Frédéric Bosché, Lyn Wilson, and Alick Leslie. "COMPARISON OF 3D REALITY CAPTURE TECHNOLOGIES FOR THE SURVEY OF STONE WALLS." In ARQUEOLÓGICA 2.0 - 8th International Congress on Archaeology, Computer Graphics, Cultural Heritage and Innovation. Valencia: Universitat Politècnica València, 2016. http://dx.doi.org/10.4995/arqueologica8.2016.2582.
Full textPeipe, 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.
Full textJankauskiene, Dainora, Indrius Kuklys, Lina Kukliene, and Birute Ruzgiene. "Surface modelling of a unique heritage object: use of UAV combined with camera and LiDAR for mound inspection." In Research for Rural Development 2020. Latvia University of Life Sciences and Technologies, 2020. http://dx.doi.org/10.22616/rrd.26.2020.030.
Full textPecci, Antonio. "Droni e fotogrammetria moderna per il rilievo dei castelli." In FORTMED2020 - Defensive Architecture of the Mediterranean. Valencia: Universitat Politàcnica de València, 2020. http://dx.doi.org/10.4995/fortmed2020.2020.11490.
Full textKim, C., H. Son, and C. Kim. "The Effective Acquisition and Processing of 3D Photogrammetric Data from Digital Photogrammetry for Construction Progress Measurement." In International Workshop on Computing in Civil Engineering 2011. Reston, VA: American Society of Civil Engineers, 2011. http://dx.doi.org/10.1061/41182(416)22.
Full textAl-Tahir, Raid, and Travis Barran. "EARTHWORK VOLUMETRICS WITH UNMANNED AERIAL VEHICLES: A COMPARATIVE STUDY." In International Conference on Emerging Trends in Engineering & Technology (IConETech-2020). Faculty of Engineering, The University of the West Indies, St. Augustine, 2020. http://dx.doi.org/10.47412/klnq8966.
Full textReports on the topic "Photogrammetie"
Gorshe, Frank. Photogrammetric Digitizing System. Portland State University Library, January 2000. http://dx.doi.org/10.15760/etd.2890.
Full textBruder, 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.
Full textBrown, Roger O. Feature Mapping in a Photogrammetric GIS. Fort Belvoir, VA: Defense Technical Information Center, November 1992. http://dx.doi.org/10.21236/ada258595.
Full textBrown, Roger O. Feature Mapping in a Photogrammetric GIS. Fort Belvoir, VA: Defense Technical Information Center, January 1994. http://dx.doi.org/10.21236/ada275418.
Full textLesgidi, Persefoni. Interpreting the Significance of Underwater Archaeological Photogrammetry. Honor Frost Foundation, 2020. http://dx.doi.org/10.33583/mags2019.07.
Full textEdwards, Daniel. System Integration Issues in Digital Photogrammetric Mapping. Fort Belvoir, VA: Defense Technical Information Center, January 1992. http://dx.doi.org/10.21236/ada254046.
Full textBerney, Ernest, Naveen Ganesh, and Thad Pratt. A photogrammetric method for obtaining soil density. Engineer Research and Development Center (U.S.), July 2018. http://dx.doi.org/10.21079/11681/27685.
Full textSalisbury, 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.
Full textFerguson, 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.
Full textFeeney, 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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