JOURNAL BROWSE
Search
Advanced SearchSearch Tips
Accuracy Improvement of the ICP DEM Matching
facebook(new window)  Pirnt(new window) E-mail(new window) Excel Download
 Title & Authors
Accuracy Improvement of the ICP DEM Matching
Lee, Hyoseong;
  PDF(new window)
 Abstract
In photogrammetry, GCPs (Ground Control Points) have traditionally been used to determine EOPs (Exterior Orientation Parameters) and to produce DEM (Digital Elevation Model). The existing DEM can be used as GCPs, where the observer’s approach is a difficult area, because it is very restrictive to survey in the field. For this, DEM matching should be performed. This study proposed the fusion method using ICP (Iterative Closest Point) and RT (proposed method by Rosenholm and Torlegard, 1988) in order to improve accuracy of the DEM matching. The proposed method was compared to the ICP method to evaluate its usefulness. Pseudo reference DEM with resolution 10m, and modified DEM (random-numbers are added from 0 to 2 at height; scale is 0.9; translation is 100 meters in 3-D axes; rotation is from 10° to 50° from the reference DEM) were used in the experiment. The results proposed accuracy was highest in the matching and absolute orientation. In the case of ICP, according to rotation of the modified DEM being increased, absolute orientation error is increased, while the proposed method generally showed consistent results without increasing the error. The proposed method would be applied to matching when the DEM is modified up to 30° rotation, compared to the reference DEM, based on the results of experiments. In addition when we use Drone, this method can be utilized to identify EOPs or detect 3-D surface deformation from the existing DEM of the inaccessible area.
 Keywords
Exterior Orientation Parameters;DEM Matching;Iterative Closest Point Matching;Rosenholm and Torlegard Matching;Absolute Orientation;
 Language
Korean
 Cited by
 References
1.
Besl, P. and Mckay, N. (1992), A method for registration of 3-D shapes, IEEE Transactions on Pattern Analysis and Machine Intelligence, Vol. 14, No. 2, pp. 239-256. crossref(new window)

2.
Ebner, H. and Strunz, G. (1988), Combined point determination using digital terrain models as control information, International Archives of Photogrammetry and Remote Sensing, Vol. 27, Part B11/3, pp. 578-587.

3.
Gruen, A. and Akca, D. (2005), Least squares 3D surface and curve matching, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 59, No. 3, pp. 151-174. crossref(new window)

4.
Han, D. (2007), Automatic Adjustment of Airborne LiDAR Strip Data Using the ICP and Extrema Detection Algorithm, Ph.D. dissertation, Seoul National University, Seoul, Korea, 107p. (in Korean with English abstract)

5.
Joung, J. (2009), 3D Environment Reconstruction Using Modified ICP Algorithm by Fusion of a Camera and a 3D Laser Range Finder, Master’s thesis, Korea Advanced Institute of Science and Technology, Daejeon, Korea, 83p. (in Korean with English abstract)

6.
Karras, G. and Petsa, E. (1993), DEM matching and detection of deformation in close-range photogrammetry without control, Photogrammetric Engineering & Remote Sensing, Vol. 59, No. 9, pp. 1419-1424.

7.
Kim, T. and Jeong, J. (2011), DEM matching for bias compensation of rigorous pushbroom sensor models, ISPRS Journal of Photogrammetry and Remote Sensing, Vol. 66, pp. 692-699. crossref(new window)

8.
Lee, H., Ahn, K., Park, B., Oh, J., and Han, D. (2010), Correction of Mt. Baekdu DEM generated from SPOT-5 stereo images, Journal of the Korean Society of Surveying, Geodesy, Photogrammetry and Cartography, Vol. 28, No. 5, pp. 555-560. (in Korean with English abstract)

9.
Lee, H., Han, D., and Ahn, K. (2011), Change estimation of tidal flat elevation of Suncheon Bay using aerial images, Journal of Korean Society of Environmental Technology, Vol. 12, No. 3, pp. 223-229. (in Korean with English abstract)

10.
Lowe, D. (2004), Distinctive image features from scaleinvariant keypoints, International Journal on Computer Vision, IJCV, Vol. 60, No. 2, pp. 91-110. crossref(new window)

11.
Oh, K. and Jung, H. (2012), Automatic geometric calibration of KOMPSAT-2 stereo pair data, Korean Journal of Remote Sensing, Vol. 28, No. 2, pp. 191-202. (in Korean with English abstract) crossref(new window)

12.
Rosenholm, D. and Torlegard, K. (1988), Three-dimensional absolute orientation of stereo models using digital elevation models, Photogrammetric Engineering & Remote Sensing, Vol. 54, No. 10, pp. 1385-1389.

13.
Zhang, T., Cen, M., Wu, X., and Zhou, G. (2005), Fully automatic DEM deformation detection without control points using differential model based on LZD algorithm, Proceedings of International Geoscience and Remote Sensing Symposium(IGARSS) 2005, IEEE, 25-29 July, Seoul, Korea, Vol. 6, pp. 3982-3985.