Point cloud generation from aerial image data acquired by a quadrocopter type micro unmanned aerial vehicle and a digital still camera

Sensors

Volumn 12, Issue 1, 2012, Pages 453-480

  Rosnell, Tomi ^a   Honkavaara, Eija ^a  

^a FINNISH GEODETIC INSTITUTE   (Finland)

Author keywords

Calibration; Photogrammetry; Point cloud; Small sensor digital camera; Unmanned aerial vehicle

Indexed keywords

ARTICLE; CALIBRATION; COMPUTER SIMULATION; FINLAND; IMAGE PROCESSING; INSTRUMENTATION; METHODOLOGY; MICROTECHNOLOGY; PHOTOGRAPHY; STATISTICS;

CALIBRATION; COMPUTER SIMULATION; FINLAND; IMAGE PROCESSING, COMPUTER-ASSISTED; MICROTECHNOLOGY; PHOTOGRAMMETRY; STATISTICS AS TOPIC;

EID: 84856284111     PISSN: 14248220     EISSN: None     Source Type: Journal    
DOI: 10.3390/s120100453     Document Type: Article

References (60)

1. Everaerts, J. NEWPLATFORMS-Unconventional Platforms (Unmanned Aircraft Systems) for Remote Sensing; Official Publication No. 56; Gopher: Amsterdam, The Netherlands, 2009.
2. Eisenbeiss, H. UAV Photogrammetry; DISS. ETH No. 18515; Institute of Geodesy and Photogrammetry (IGP), ETH Zurich: Zurich, Switzerland, 2009.
3. Lelong, C.C.D.; Burger, P.; Jubelin, G.; Roux, B.; Labbé, S.; Baret, F. Assessment of unmanned aerial vehicles imagery for quantitative monitoring of wheat crop in small plots. Sensors 2008, 8, 3557-3585.
4. Berni, J.A.; Zarco-Tejada, P.J.; Suárez, L.; Fereres, E. Thermal and narrowband multispectral remote sensing for vegetation monitoring from an unmanned aerial vehicle. IEEE Trans. Geosci. Remote Sens. 2009, 47, 722-738.
5. Hunt, E.R., Jr.; Hively, W.D.; Fujikawa, S.J.; Linden, D.S.; Daughtry, C.S.T.; McCarty, G.W. Acquisition of NIR-green-blue digital photographs from unmanned aircraft for crop monitoring. Remote Sens. 2010, 2, 290-305.
6. Bandea, H.; Chiabrando, F.; Giulio Tonolo, F.; Marenchino, D. Mapping of archeological areas using a low-cost UAV the augusta bagiennorum test site. In Proceedings of the XXI International CIPA Symposium, Athens, Greece, 1-6 September 2007.
7. Casbeer, D.W.; Kingston, D.B.; Beard, R.W.; Mclain, T.W.; Li, S.-M.; Mehra, R. Cooperative forest fire surveillance using a team of small unmanned air vehicles. Int. J. Syst. Sci. 2006, 37, 351-360.
8. Gutjahr, K.; Hafner, P.; Ofner, M.; Längaue, K.; Wieser, M.; Kühtreiber, N. Performance of INS/GNSS integration methods in context of a near real-time airborne mapping platform. In Proceedings of the International Calibration and Orientation Workshop EuroCOW 2010, Castelldefels, Spain, 10-12 February 2010; Official EuroSDR publication No.57.
9. Zhou, G. Near real-time orthorectification and mosaic of small UAV video flow for time-critical event response. IEEE Trans. Geosci. Remote Sens. 2009, 47, 739-747.
10. Zhou, G. Geo-referencing of video flow from small low-cost civilian UAV. IEEE Trans. Autom. Sci. Eng. 2010, 7, 156-166.
11. Heintz, F.; Rudol, P.; Doherty, P. From images to traffic behaviours-A UAV tracking and monitoring application. In Proceedings of the 10th International Conference on Information Fusion, Quebec, QC, Canada, 9-12 July 2007.
12. Haala, N. Comeback of digital image matching. In Photogrammetric Week '09; Fritch, D., Ed.; Wichmann Verlag: Heidelberg, Germany, 2009; pp. 289-301.
13. Gülch, E. Advaced matching techniques for high precision surface and terrain models. In Photogrammetric Week '09; Fritch, D., Ed.; Wichmann Verlag: Heidelberg, Germany, 2009; pp. 303-315.
14. Haala, N.; Hastedt, H.; Wolf, K.; Ressl, C.; Baltrusch, S. Digital photogrammetric camera evaluation-Generation of digital elevation models. Photogramm. Fernerkund. Geoinf. 2010, 2, 99-115.
15. Leberl, F.; Irschara, A.; Pock, T.; Meixner, P.; Gruber, M.; Scholz, S.; Wiechert, A. Point clouds: Lidar versus 3D vision. Photogramm. Eng. Remote Sens. 2010, 76, 1123-1134.
16. Gehrke, S.; Morin, K.; Downey, M.; Bowhrer, N.; Fuchs, T. Semi-global matching: An alternative to LIDAR for DSM generation? In Proceedings of the 2010 Canadian Geomatics Conference and Symposium of Commission I, Calgary, AB, Canada, 15-18 June 2010.
17. Nagai, M.; Chen, T.; Shibasaki, R.; Kumgai, H.; Ahmed, A. UAV-borne 3-D mapping system by multisensory integration. IEEE Trans. Geosci. Remote Sens. 2009, 47, 701-708.
18. Jaakkola, A.; Hyyppä, J.; Kukko, A.; Yu, X.; Kaartinen, H.; Lehtomäki, M.; Lin, Y. A low-cost multi-sensoral mobile mapping system and its feasibility for tree measurements. ISPRS J. Photogramm. Remote Sens. 2010, 65, 514-522.
19. Hakala, T.; Suomalainen, J.; Peltoniemi, J.I. Acquisition of bidirectional reflectance factor dataset using a micro unmanned aerial vehicle and a consumer camera. Remote Sens. 2010, 2, 819-832.
20. Microdrones Gmbh. Available online: http://www.microdrones.com (accessed on 21 November 2011).
21. Ricoh GR 3. Available online: http://www.ricoh.com/r_dc/gr/gr_digital3/ (accessed on 21 November 2011).
22. Panasonic Lumix GF1. Available online: http://panasonic.net/avc/lumix/systemcamera/gms/gf1/specifications.html (accessed on 21 November 2011).
23. DCRAW. Available online: http://www.cybercom.net/~dcoffin/dcraw/ (accessed on 21 November 2011).
24. Fraser, C.S. Digital camera self-calibration. ISPRS J. Photogramm. Remote Sens. 1997, 52, 149-159.
25. Kraus, K. Photogrammetry, Volume 1: Fundamentals and Standard Processes; Fred. Dümmlers Verlag: Bonn, Germany, 1993.
26. Kraus, K. Photogrammetry, Volume 2: Advanced Methods and Applications; Fred. Dümmlers Verlag: Bonn, Germany, 1997.
27. Honkavaara, E. Calibrating Digital Photogrammetric Airborne Imaging Systems Using a Test Field. Ph.D. Dissertation, Helsinki University of Technology, Espoo, Finland, 2008.
28. Cramer, M. Performance of GPS/inertial solutions in photogrammetry. In Photogrammetric Week '01; Fritch, D., Spiller, R., Eds.; Wichmann Verlag: Heidelberg, Germany, 2001; pp. 29-62.
29. Heipke, C.; Jacobsen, K.; Wegmann, H. Analysis of the results of the OEEPE test "Integrated Sensor Orientation". In OEEPE Official Publication, No 43; Heipke, C., Jacobsen, K., Wegmann, H., Eds.; Werbedruck Schreckhase: Spangenberg, Germany, 2002.
30. Büyüksalih, G.; Li, Z. Practical experiences with automatic aerial triangulation using different software packages. Photogramm. Rec. 2005, 18, 131-155.
31. Jacobsen, K.; Cramer, M.; Ladstädter, R.; Ressl, C.; Spreckels, V. DGPF-Project: Evaluation of digital photogrammetric camera systems geometric performance. Photogramm. Fernerkund. Geoinf. 2010, 2, 83-97.
32. Chiang, K.-W.; Chang, H.-W.; Li, C.-Y.; Huang, Y.-W. An artificial neural network embedded position and orientation determination algorithm for low cost MEMS INS/GPS integrated sensors. Sensors 2009, 9, 2586-2610.
33. El-Sheimy, N.; Niu, X. The Promise of MEMS to the Navigation Community; Available online: http://www.insidegnss.com/auto/IG0307el-sheimyFinal.pdf (accessed on 21 November 2011).
34. Se, S.; Firoozfam, P.; Goldstein, N.; Dutkiewicz, M.; Pace, P. Automated UAV-based video exploitation for mapping and surveillance. In Proceedings of the 2010 Canadian Geomatics Conference and Symposium of Commission I, Calgary, AB, Canada, 15-18 June 2010.
35. Tsai, M.L.; Chiang, K.W.; Huang, Y.W.; Lin, Y.S.; Tsai, J.S.; Lo, C.F.; Lin, Y.S.; Wu, C.H. The development of a direct georeferencing ready UAV based photogrammetry platform. In Proceedings of the 2010 Canadian Geomatics Conference and Symposium of Commission I, Calgary, AB, Canada, 15-18 June 2010.
36. Agarwal, S.; Snavely, N.; Simon, I.; Seitz, S.M.; Szeliski, R. Building Rome in a day. In Proceedings of International Conference on Computer Vision, Kyoto, Japan, 27 September- 4 October 2009.
37. Frahm, J.-M.; Pollefeys, M.; Lazebnik, S.; Gallup, D.; Clipp, B.; Raguram, R.; Wu, C.; Zach, C.; Johnson, T. Fast robust large-scale mapping from video and internet photo collections. ISPRS J. Photogramm. Remote Sens. 2010, 65, 538-549.
38. ™. Available online: http://photosynth.net/ (accessed on 21 November 2011).
39. ™. Available online: http://www.vexcel.com/geospatial/geosynth/ (accessed on 21 November 2011).
40. Lowe, D. Distinctive image features from scale-invariant keypoints. Int. J. Comput. Vis. 2004, 60, 91-110.
41. Lingua, A.; Marenchino, D.; Nex, F. Performance analysis of the SIFT operator for automatic feature extraction and matching in photogrammetric applications. Sensors 2009, 9, 3745-3766.
42. Bay, H.; Ess, A.; Tuytelaars, T.; van Gool, L. SURF: Speeded up robust features. CVIU 2008, 110, 346-359.
43. Barazzetti, L.; Remondino, F.; Scaioni, M.; Brumana, R. Fully automatic UAV image-based sensor orientation. In Proceedings of the 2010 Canadian Geomatics Conference and Symposium of Commission I, Calgary, AB, Canada, 15-18 June 2010.
44. Irschara, A.; Kaufmann, V.; Klopschitz, M.; Bischof, H.; Leberl, F. Towards fully automatic photogrammetric reconstruction using digital images taken from UAVs. In Proceedings of the ISPRS TC VII Symposium-100 Years ISPRS, Vienna, Austria, 5-7 July 2010.
45. Förstner, W. Matching strategies for point transfer. In Photogrammetric Week '95; Fritch, D., Hobbie, D., Eds.; Wichmann Verlag: Heidelberg, Germany, 1995; pp. 173-183.
46. Heipke, C. Overview on image matching techniques. In Proceedings of the OEEPE-Workshop on Application of Digital Photogrammetric Workstations, Lausanne, Switzerland, 4-6 March 1996; pp. 173-189.
47. Brown, M.Z.; Bruschka, D.; Hager, G.D. Advances in computational stereo. IEEE Trans. Pattern Anal. Mach. Intell. 2003, 25, 993-1008.
48. DeVenecia, K.; Walker, S.; Zhang, B. New approaches to generating and processing high resolution elevation data with imagery. In Photogrammetric Week '07; Fritch, D., Ed.; Wichmann Verlag: Heidelberg, Germany, 2009; pp. 297-308.
49. Zhang, B.; Miller, S.; DeVenecia, K. Automatic terrain extraction using multiple image pair and back matching. In Proceedings of the ASPRS 2006 Annual Conference, Reno, Nevada, 1-5 May 2006.
50. Baltsavias, E.; Gruen, A.; Zhang, L.; Waser, L.T. High-quality image matching and automated generation of 3D tree models. Int. J. Remote Sens. 2008, 29, 1243-1259.
51. iWitness. Available online: http://www.iwitnessphoto.com/ (accessed on 21 November 2011).
52. Synth exporter, CodePlex Open Source Community. Available online: http://synthexport.codeplex.com/ (accessed on 21 November 2011).
53. ®. In Photogrammetric Week '07; Fritch, D., Ed.; Wichmann Verlag: Heidelberg, Germany, 2007; pp. 35-40.
54. Honkavaara, E.; Markelin, L.; Rosnell, T.; Nurminen, K. Influence of solar elevation in radiometric and geometric performance of multispectral photogrammetry. ISPRS J. Photogramm. Remote Sens. 2012, 67, 13-26.
55. Miller, S. Photogrammetric products. In ASPRS Manual of Photogrammetry, 5th ed.; McGlone, J.C., Mikhail, E., Bethel, J., Eds.; American Society for Photogrammetry and Remote Sensing: Bethesda, MD, USA, 2004; pp. 983-1013.
56. Honkavaara, E.; Peltoniemi, J.; Ahokas, E.; Kuittinen, R.; Hyyppä, J.; Jaakkola, J.; Kaartinen, H.; Markelin, L.; Nurminen, K.; Suomalainen, J. A permanent test field for digital photogrammetric systems. Photogramm. Eng. Remote Sens. 2008, 74, 95-106.
57. ™. Available online: http://www.microsoft.com/ultracam/en-us/default.aspx (accessed on 21 November 2011).
58. Ebner, H. Theoretical accuracy models for block triangulation. BUL 1972, 40, 214-221.
59. Förstner, W. The reliability of block triangulation. Photogramm. Eng. Remote Sens. 1985, 51, 1137-1149.
60. Burman, H. Calibration and Orientation of Airborne Image and Laser Scanner Data Using GPS and INS. Ph.D. Dissertation, Royal Institute of Technology, Stockholm, Sweden, 2000.