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Feasibility of Using an Automatic Lens Distortion Correction (ALDC) Camera in a Photogrammetric UAV System
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 Title & Authors
Feasibility of Using an Automatic Lens Distortion Correction (ALDC) Camera in a Photogrammetric UAV System
Jeong, Hohyun; Ahn, Hoyong; Park, Jinwoo; Kim, Hyungwoo; Kim, Sangseok; Lee, Yangwon; Choi, Chuluong;
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This study examined the feasibility of using an automatic lens distortion correction (ALDC) camera as the payload for a photogrammetric unmanned aerial vehicle (UAV) system. First, lens distortion for the interior orientation (IO) parameters was estimated. Although previous studies have largely ignored decentering distortion, this study revealed that more than 50% of the distortion of the ALDC camera was caused by decentering distortion. Second, we compared the accuracy of bundle adjustment for camera calibration using three image types: raw imagery without the ALDC option; imagery corrected using lens profiles; and imagery with the ALDC option. The results of image triangulation, the digital terrain model (DTM), and the orthoimage using the IO parameters for the ALDC camera were similar to or slightly better than the results using self-calibration. These results confirm that the ALDC camera can be used in a photogrammetric UAV system using only self-calibration.
Automatic Lens Distortion Correction;Photogrammetric UAV System;Interior Orientation Parameter;Accuracy;Image Triangulation;
 Cited by
Brown, D.C. (1966), Decentering distortion of lenses, Photogrammetric Engineering, Vol. 32, pp. 444-462.

Brown, D.C. (1971), Close-range camera calibration, Photogrammetric Engineering, Vol. 37, No. 8, pp. 855-866.

Cai, J. (2014), Automatic lens distortion correction using single images by finding reliable lines for rectification, Proceedings of the 2014 13th International Conference on Control, Automation, Robotics & Vision, ICARCV, 10-12 December, Singapore, Singapore, pp. 1015-1020.

Claus, D. and Fitzgibbon, A.W. (2005), A rational function lens distortion model for general cameras, Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, IEEE, 20-25 June, San Diego, USA, Vol. 1, pp. 213-219.

Flener, C., Vaaja, M., Jaakkola, A., Krooks, A., Kaartinen, H., Kukko, A., and Alho, P. (2013), Seamless mapping of river channels at high resolution using mobile lidar and UAV-photography, Remote Sensing, Vol. 5, pp. 6382-6407. crossref(new window)

Fraser, C.S. (1997), Digital camera self-calibration, International Archives of Photogrammetry and Remote Sensing, Vol. 52, No. 4, pp. 149-159. crossref(new window)

Gonzalez-Aguilera, D., Gomez-Lahoz, J., and Rodriguez-Gonzalvez, P. (2011), An automatic approach for radial lens distortion correction from a single image, IEEE Sensors Journal, Vol. 11, No. 4, pp. 956-965. crossref(new window)

Hartley, R. (2008), Multiple View Geometry in Computer Vision, Cambridge University Press, Cambridge, UK.

Henri, E. (2009), In UAV Photogrammetry, Ph.D. dissertation, ETH Zurich, Zurich, Switzerland, 203p.

Karras, G.E., Mountrakis, G., Patias, P., and Petsa, E. (1998), Modeling distortion of super-wide-angle lenses for architectural and archaeological applications, International Archives of Photogrammetry and Remote Sensing, Vol. 32, No. 5 pp. 570-573.

Kim, J., Lee, S., Ahn, H., Seo, D., Seo, D., Lee, J., and Choi, C. (2013), Accuracy evaluation of a smartphone based technology for coastal monitoring, Measurement, Vol. 48, No. 1, pp. 233-248.

Kukelova, Z. and Pajdla, T. (2011) A minimal solution to radial distortion autocalibration, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 33, No. 12, pp. 2410-2422. crossref(new window)

Lee, S., Kim, J., Jin, C., Bae, S., and Choi, C. (2012), Assessment of smartphone based technology for remote environmental monitoring and development, Instrumentation Science and Technology, Vol. 40, No. 6 pp. 504-529. crossref(new window)

Lee, T.Y., Chang, T.S., Wei, C.H., Lai, S.H., Liu, K.C., and Wu, H.S. (2013), Automatic distortion correction of endoscopic images captured with wide angle zoom lens, IEEE Transactions on Biomedical Engineering, Vol. 60, No. 9, pp. 2603-2612. crossref(new window)

Lenz, R. (1987), Linsenfehlerkorrigierte Eichung von Halbleiterkameras mit Standardobjektiven für Hochgenaue 3D - Messungen in Echtzeit, Springer-Verlag, Berlin, Germany.

Moumen, A. (2005), Nonmetric calibration of camera lens distortion: differential methods and robust estimation, IEEE Transactions on Image Processing, Vol. 14, No. 8, pp. 1215-1230. crossref(new window)

Vallet, J., Panissod, F., Strecha, C., and Tracol, M. (2011), Photogrammetric performance of an ultra light weight swinglet “Uav”, Proceedings of the International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, ISPRS, 14-16 September, Zurich, Switzerland, Vol. XXXVIII-1, pp. 253-258.

Vallet, J., Skaloud, J., Koelbl, O., and Merminod, B. (2000), Development of a helicopter-based integrated system for avalanche mapping and hazard management, International Archives of Photogrammetry and Remote Sensing, Vol. 33, pp. 565-572.

Wang, J., Shi, F., Zhang, J., and Liu, Y. (2008), A new calibration model of camera lens distortion, Pattern Recognition, Vol. 41, No. 2, pp. 607-615. crossref(new window)

Wolf, P. R. (1983), Elements of Photogrammetry, Mcgrawhill, New York, USA.

Wolf, P.R., Dewitt, B.A., and Wilkinson, B. (2000), Elements of Photogrammetry: with Applications in GIS 3rd Edition, McGraw-Hill, New York, USA.