The impact of the calibration method on the accuracy of point clouds derived using unmanned aerial vehicle multi-view stereopsis

Remote Sensing

Volumn 7, Issue 9, 2015, Pages 11933-11953

  Harwin, Steve ^a   Lucieer, Arko ^a   Osborn, Jon ^a  

^a UNIVERSITY OF TASMANIA   (Australia)

Author keywords

Calibration; Ground control accuracy; Oblique imagery; Structure from motion; multi view stereopsis; UAV

Indexed keywords

ANTENNA ARRAYS; CAMERAS; CRASHWORTHINESS; MAPPING; PHOTOGRAMMETRY; PHOTOGRAPHY; ROCK MECHANICS; SURVEYS; UNMANNED AERIAL VEHICLES (UAV);

CALIBRATION PROCEDURE; GROUND CONTROL; GROUND CONTROL POINTS; MULTI-VIEW STEREOPSIS; OBLIQUE IMAGERY; OPERATIONAL DECISIONS; OPERATIONAL PRACTICES; STRUCTURE FROM MOTION;

CALIBRATION;

EID: 84942543941     PISSN: None     EISSN: 20724292     Source Type: Journal    
DOI: 10.3390/rs70911933     Document Type: Article

References (44)

1. Snavely, N.; Seitz, S.M.; Szeliski, R. Modeling the world from internet photo collections. Int. J. Comput. Vis. 2007, 80, 189-210.
2. Snavely, N. Bundler: Structure from Motion (SfM) for Unordered Image Collections. Available online: http://www.cs.cornell.edu/snavely/bundler/(accessed on 27 January 2011).
3. Lowe, D.G. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vision 2004, 60, 91-110.
4. Furukawa, Y.; Ponce, J. Accurate, dense, and robust multi-view stereopsis. IEEE Trans. Pattern Anal. Mach. Intell. 2009, 32, 1362-1376.
5. Liu, H. Algorithmic foundation and software tools for extracting shoreline features from remote sensing imagery and LiDAR data. J. Geogr. Inf. Syst. 2011, 3, 99-119.
6. Verhoeven, G.; Taelman, D.; Vermeulen, F. Computer vision-based orthophoto mapping of complex archaeological sites: The ancient quarry of itaranha (Portugal-Spain). Archaeometry 2012, 54, 1114-1129.
7. Vu, H.H.; Labatut, P.; Pons, J.P.; Keriven, R. High accuracy and visibility-consistent dense multiview stereo. IEEE Trans. Geosci. Remote 2012, 34, 889-901.
8. Turner, D.; Lucieer, A.; Wallace, L. Direct georeferencing of ultrahigh-resolution UAV imagery. IEEE Trans. Geosci. Remote 2014, 52, 2738-2745.
9. Turner, D.; Lucieer, A.; Watson, C. 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 Sens. 2012, 4, 1392-1410.
10. Lucieer, A.; De Jong, S.; Turner, D. Mapping landslide displacements using Structure from Motion (SfM) and image correlation of multi-temporal UAV photography. Prog. Phys. Geog. 2013, 38, 97-116.
11. Lucieer, A.; Robinson, S.; Turner, D. Unmanned aerial vehicle (UAV) remote sensing for hyperspatial terrain mapping of Antarctic moss beds based on Structure from Motion (SfM) point clouds. In Proceedings of the 34th International Symposium on Remote Sensing of Environment, Sydney, NSW, Australia, 10-15 April 2011.
12. Harwin, S.; Lucieer, A. Assessing the accuracy of georeferenced point clouds produced via multi-view stereopsis from Unmanned Aerial Vehicle (UAV) imagery. Remote Sens. 2012, 4, 1573-1599.
13. Prahalad, V.; Sharpies, C.; Kirkpatrick, J.; Mount, R. Is wind-wave fetch exposure related to soft shoreline change in swell-sheltered situations with low terrestrial sediment input? J. Coast. Conserv. 2015, 19, 23-33.
14. Tahar, K.N.; Ahmad, A. UAV-based stereo vision for photogrammetric survey in aerial terrain mapping. In Proceedings of the 2011 IEEE International Conference on Computer Applications and Industrial Electronics (ICCAIE), Penang, Malaysia, 4-7 December 2011; pp. 443-447.
15. Neitzel, F.; Klonowski, J. Mobile 3D mapping with a low-cost UAV system. ISPRS Arch. 2011, 38, 1-6.
16. Rosnell, T.; Honkavaara, E. Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera. Sensors 2012, 12, 453-480.
17. Carvajal, F.; Agüera, F.; Pérez, M. Surveying a landslide in a road embankment using Unmanned Aerial Vehicle photogrammetry. ISPRS Arch. 2011, 38, 1-6.
18. Mancini, F.; Dubbini, M.; Gattelli, M.; Stecchi, F.; Fabbri, S.; Gabbianelli, G. Using Unmanned Aerial Vehicles (UAV) for high-resolution reconstruction of topography: The structure from motion approach on coastal environments. Remote Sens. 2013, 5, 6880-6898.
19. Strecha, C.; von Hansen, C.; Gool, L.V.; Fua, P.; Thoennessen., U. On benchmarking camera calibration and multi-view stereo for high resolution imagery. In Proceedings of the 2008 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Anchorage, AK, USA, 24-26 June 2008.
20. Vallet, J.; Panissod, F.; Strecha, C.; Tracol, M. Photogrammetric performance of an ultra light weight swinglet "UAV". ISPRS Arch. 2011, 38, 253-258.
21. James, M.; Robson, S. Straightforward reconstruction of 3D surfaces and topography with a camera: Accuracy and geoscience application. J. Geophys. Res. 2012, 117, 1-17.
22. Flener, C.; Vaaja, M.; Jaakkola, A.; Krooks, A.; Kaartinen, H.; Kukko, A.; Kasvi, E.; Hyyppä, H.; Hyyppä, J.; Alho, P. Seamless mapping of river channels at high resolution using mobile LiDAR and UAV-Photography. Remote Sens. 2013, 5, 6382-6407.
23. Westoby, M.; Brasington, J.; Glasser, N.; Hambrey, M.; Reynolds, J. Structure-from-Motion photogrammetry: A low-cost, effective tool for geoscience applications. Geomorphology 2012, 179, 300-314.
24. D'Oleire-Oltmanns, S.; Marzolff, I.; Peter, K.; Ries, J. Unmanned Aerial Vehicle (UAV) for monitoring soil erosion in Morocco. Remote Sens. 2012, 4, 3390-3416.
25. Fraser, C. Automatic camera calibration in close range photogrammetry. Photogramm. Eng. Remote Sens. 2013, 79, 381-388.
26. Fraser, C.S.; Ganci, G.; Shortis, M. Multi-sensor system self-calibration. Int. Soc. Opt. Eng. 1995, doi:10.1117/12.220890.
27. Remondino, F.; Fraser, C.S. Digital camera calibration methods: Considerations and comparisons. In Proceedings of the 2006 ISPRS Commission V Symposium "Image Engineering and Vision Metrology", Dresden, Germany, 25-27 September 2006.
28. James, M.; Quinton, J.N. Ultra-rapid topographic surveying for complex environments: The hand-held mobile laser scanner (HMLS). Earth Surf. Proc. Land. 2014, 39, 138-142.
29. Granshaw, S.I. Bundle adjustment methods in engineering photogrammetry. Photogramm. Rec. 1980, 10, 181-207.
30. James, M.R.; Robson, S. Mitigating systematic error in topographic models derived from UAV and ground-based image networks. Earth Surf. Proc. Land. 2014, 39, 1413-1420.
31. Fryer, J. Camera calibration. Close Range Photogrammetry and Machine Vision; Atkinson, K., Ed.; Whittles Publishing: Caithness, UK, 1996; pp. 156-179.
32. Wackrow, R.; Chandler, J.; Gardner, T. Minimising systematic errors in DEMs caused by an inaccurate lens model. ISPRS Arch. 2008, 37, 1-6.
33. Wackrow, R.; Chandler, J.H. Minimising systematic error surfaces in digital elevation models using oblique convergent imagery. Photogramm. Rec. 2011, 26, 16-31.
34. Mikrokopter. MikroKopter WIKI. Available online: http://www.mikrokopter.com (accessed on 7 February 2012).
35. LISTECH LISCAD, Version 10.1; LISTECH Pty Ltd: Richmond, Victoria, Australia, 2013.
36. Leica Geosystems. Leica GPS1200 Brochure. Available online: http://www.leica-geosystems.com/downloads123/zz/gps/general/brochures-datasheet/GPS1200_TechnicalData_en.pdf. (accessed on 11 September 2014).
37. Agisoft Lens, Version 040.1.1718 beta 64 bit; AgiSoft LLC: Petersburg, Russia, 2014.
38. Agisoft PhotoScan, Professional Edition Version 1.0.4.1847 64 bit; AgiSoft LLC: Petersburg, Russia, 2014.
39. 3DM CalibCam, Version 2.2a; ADAM Technology: Perth, Australia, 2006.
40. Brown, D. Close-range camera calibration. Photogramm. Eng. Remote Sens. 1971, 37, 855-866.
41. Agisoft PhotoScan. User Manual: Professional Edition Version 1.0.4.1847 64 bit; AgiSoft LLC: Petersburg, Russia, 2014.
42. Agisoft PhotoScan WIKI. Agisoft PhotoScan WIKI. Available online: http://www.agisoft.ru/wiki/PhotoScan/Tips_and_Tricks (accessed on 13 June 2014).
43. Javernick, L.; Brasington, J.; Caruso, B. Modeling the topography of shallow braided rivers using Structure-from-Motion photogrammetry. Geomorphology 2014, 213, 166-182.
44. Woodget, A.S.; Carbonneau, P.E.; Visser, F.; Maddock, I.P. Quantifying submerged fluvial topography using hyperspatial resolution UAS imagery and structure from motion photogrammetry. Earth Surf. Proc. Land. 2015, 40, 47-64.