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Liczba wyników
2015 | nr IV/3 | 1329--1350
Tytuł artykułu

The Analysis of the Results of Aerial Photography Experiments on the Basis of a Developed UAV Model

Treść / Zawartość
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
Modern techniques related to the creation of topographic and cadastral plans of land areas are based on the use of digital data received as a result of aerial photography. This article discusses three core technological issues in the application of UAVs in topographic aerial photography connected to the stabilization of the UAV during the flight: maintenance of a constant speed, maintenance of a straight line of flight and the reduction of tilt. This article presents the results of a study of the aerial photography errors and describes the ways in which the latter can be addressed.
Rocznik
Numer
Strony
1329--1350
Opis fizyczny
Twórcy
  • University of Agriculture in Krakow
  • University of Agriculture in Krakow
  • Kyiv National Technical University of Ukraine
  • Kyiv National Technical University of Ukraine
  • Lviv Polytechnic National University
autor
  • Lviv Polytechnic National University
Bibliografia
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  • D'Oleire-Oltmanns, S., Marzolff, I., Peter, K., Ries, J. (2012). Unmanned Aerial Vehicle (UAV) for monitoring soil erosion in Morocco. Remote Sensing, 4(11), 3390-3416.
  • Douterloigne, K., Goeman, W., Gautama, S., Philips, W. (2013). Automatic detection of a one dimensional ranging pole for robust external camera calibration in mobile mapping. ISPRS Journal of Photogrammetry and Remote Sensing, 86, 111-123.
  • Droeschel, D., Schreiber, M., Behnke, S. (2013). Omnidirectional perception for lightweight UAVs using acontinuously rotating 3D laser scanner. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-1/W2, UAV-g2013, 107-112.
  • Everaerts, J. (2008). The use of unmanned aerial vehicles (UAVs) for remote sensing and mapping. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 37, 1187-1191.
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  • Grenzdörffer, G., Niemeyer, F., Schmidt F. (2012). Development of four vision camera system for a Micro-UAV. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXIX-B1, pp.369-374.
  • XXII ISPRS Congress, Melbourne, Australia. Habed, A., Boufama, B. (2008). Camera self-calibration from bivariate polynomials derived from Kruppa's equations. Pattern Recognition, 41 (8), 2484-2492.
  • Junqing, C., Zongjian, L., Xiaojing, W., and Yongrong, L. (2012). Application of uav system for low altitude photogrammetry in Shanxi. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, Volume XXXIX-B1, 351-354. XXII ISPRS Congress. Melbourne, Australia.
  • Kim, J., Lee, S., Ahn, H., Seo, D., Park, J., Choi, C. (2013). Feasibility of employing a smartphone as the payload in a photogrammetric UAV system. ISPRS Journal of Photogrammetry and Remote Sensing, 79, 1-18.
  • Lucieer, A., Turner, D., King, D.K., Robinson, S.A. (2014). Using an Unmanned Aerial Vehicle (UAV) to capture micro topography of Antarctic moss beds. International Journal of Applied Earth Observation and Geoinformation, 27,53-62.
  • Mancini, A., Cesetti, A., Iuale, A., Frontoni, E., Zingaretti, S. and Longhi, S. (2009). A Framework for Simulation and Testing of UAVs in Cooperative Scenarios. Unmanned Aircraft Systems, 307-329.
  • Mäkeläinen, A., Saari, H., Hippi, I., Sarkeala, J., Soukkamäki, J. (2013). 2D hyperspectral frame imager camera data in photogrammetric mosaicking. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XL-1/ W2, UAV-g2013, 263-267.
  • Nex, F. and Remondino, F. (2014). UAV for 3D mapping applications: a review. Applied Geomatics, 6, 1-15, doi: 10.1007/s12518-013-0120-x.
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  • Remondino, F., Barazzetti, L., Nex, F., Scaioni, M., Sarazzi D. (2011). UAV photogrammetry for mapping and 3D modeling - Current status and future perspectives. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVIII-1/C22, ISPRS Zurich Workshop, Switzerland.
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  • Shang, Y., Sun, X., Yang, X., Wang, X., Yu, Q. (2013). A camera calibration method for large field optical measurement. Optik - International Journal for Light and Electron Optics, 124(24), 6553 -6558.
  • Siebert, S., Teizer, J. (2014). Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system. Automation in Construction, 41, 1-14.
  • Tonkin, T.,N., Midgley, N.,G., Graham, D.,J., Labadz, J.,C. (2014). The potential of small unmanned aircraft systems and structure-from-motion for topographic surveys: A test of emerging integrated approaches at Cwm Idwal, North Wales. Geomorphology, 226, doi: 10.1016/j.geomorph.2014.07.021.
  • Turner, D., Lucieer, A., Watson, C. (2012). An automated technique for generating georectified mosaics from ultra-high resolution Unmanned Aerial Vehicle (UAV) imagery, based on Structure from Motion (SfM) point clouds. Remote Sensing, 4, 1392-1410, doi : 10.3390/rs4051392.
  • Vallet, J., Panissod, F., Strecha, C. and Tracol, M. (2011). Photogrammetric performance of an ultra light weight swinglet 'UAV'. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVIII, 1/C22, UAV-g, 253-258. Conference on Unmanned Aerial Vehicle in Geomatics, Zurich, Switzerland.
  • Vasuki, Y., Holden, E-J., Kovesi, P., Micklethwaite, S. (2014). Semi-automatic mapping of geological Structures using UAV-based photogrammetric data: An image analysis approach. Computers & Geosciences, 69, 22-32.
  • Witayangkurn, A., Nagai, M., Honda, K., Dailey, M., Shibasaki, R. (2011). Realtime monitoring system using unmanned aerial vehicle integrated with sensor observation service. International Archives of the Photogrammetry, Remote Sensing and Spatial, Information Sciences, 38, 107-112.
  • Zhang, C. (2008). An UAV-BASE photogrammetric mapping system for road condition assessment. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII congress ISPRS. Part B5, 627-632.
  • Zhang, Y. (2008). Photogrammetric processing of low altitude image sequences by unmanned airship. The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, XXXVII congress ISPRS. Part B5, 751-758.
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.ekon-element-000171409389

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