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Open Access Research Article

Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation

Arash Abadpour1*, Shohreh Kasaei2 and S Mohsen Amiri2

Author Affiliations

1 Department of Mathematical Science, Sharif University of Technology, P.O. Box 11365-9415, Tehran, Iran

2 Department of Computer Engineering, Sharif University of Technology, P.O. Box 11365-9517, Tehran, Iran

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EURASIP Journal on Advances in Signal Processing 2006, 2006:076462  doi:10.1155/ASP/2006/76462

The electronic version of this article is the complete one and can be found online at: http://asp.eurasipjournals.com/content/2006/1/076462


Received:13 February 2005
Revisions received:16 September 2005
Accepted:26 September 2005
Published:9 May 2006

© 2006 Abadpour et al.

Analysis of the multispectral remotely sensed images of the areas destroyed by an earthquake is proved to be a helpful tool for destruction assessments. The performance of such methods is highly dependant on the preprocess that registers the two shots before and after an event. In this paper, we propose a new fast and reliable change detection method for remotely sensed images and analyze its performance. The experimental results show the efficiency of the proposed algorithm.

References

  1. R Wiemker, A Speck, D Kulbach, H Spitzer, J Bienlein, Unsupervised robust change detection on multispectral imagery using spectral and spatial features. Proceedings of the 3rd International Airborne Remote Sensing Conference and Exhibition, July 1997, Copenhagen, Denmark 1, 640–647

  2. CS Fischer, LM Levien, Monitoring California's hardwood rangelands using remotely sensed data. Proceedings of the 5th Symposium on Oak Woodlands, October 2001, San Diego, Calif, USA

  3. KM Bergen, DG Brown, JR Rutherford, EJ Gustafson, Development of a method for remote sensing of land-cover change 1980-2000 in the USFS North Central Region using heterogeneous USGS LUDA and NOAA AVHRR 1 km data. Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS '02), June 2002, Toronto, Ontario, Canada 2, 1210–1212

  4. M Matsuoka, F Yamazaki, Application of the damage detection method using SAR intensity images to recent earthquakes. Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS '02), June 2002, Toronto, Ontario, Canada 4, 2042–2044

  5. G Andre, L Chiroiu, C Mering, F Chopin, Building destruction and damage assessment after earthquake using high resolution optical sensors. The case of the Gujarat earthquake of January 26, 2001. Proceedings of IEEE International Geoscience and Remote Sensing Symposium (IGARSS '03), July 2003, Toulouse, France 4, 2398–2400

  6. M Nakamura, M Sakamoto, S Kakumoto, Y Kosugi, Stabilizing the accuracy of change detection from geographic images by multi-leveled exploration and selective smoothing. Proceedings of the Global Conference and Exhibition on Geospatial Technology, Tools and Solutions (GIS '03), March 2003, Vancouver, BC, Canada

  7. LG Brown, A survey of image registration techniques. ACM Computing Surveys 24(4), 325–376 (1992). Publisher Full Text OpenURL

  8. JRG Townshend, CO Justice, C Gurney, J McManus, The impact of misregistration on change detection. IEEE Transactions on Geoscience and Remote Sensing 30(5), 1054–1060 (1992). Publisher Full Text OpenURL

  9. B Zitova, J Flusser, Image registration methods: a survey. Image and Vision Computing 21(11), 977–1000 (2003). Publisher Full Text OpenURL

  10. D Robinson, P Milanfar, Fundamental performance limits in image registration. Proceedings of IEEE International Conference on Image Processing (ICIP '03), September 2003, Barcelona, Spain 3, 323–326

  11. H Li , BS Manjunath, SK Mitra, A contour-based approach to multisensor image registration. IEEE Transactions on Image Processing 4(3), 320–334 (1995). PubMed Abstract | Publisher Full Text OpenURL

  12. M Xia, B Liu, Image registration by "Super-curves". IEEE Transactions on Image Processing 13(5), 720–732 (2004). PubMed Abstract | Publisher Full Text OpenURL

  13. M Helm, Towards automatic rectification of satellite images using feature based matching. Proceedings of International Geoscience and Remote Sensing Symposium (IGARSS '91), June 1991, Espoo, Finland 4, 2439–2442

  14. A Goshtasby, GC Stockman, Point pattern matching using convex hull edges. IEEE Transactions on Systems, Man and Cybernetics 15(5), 631–637 (1985)

  15. YC Hsieh, DM McKeown, FP Perlant, Performance evaluation of scene registration and stereo matching for cartographic feature extraction. IEEE Transactions on Pattern Analysis and Machine Intelligence 14(2), 214–238 (1992). Publisher Full Text OpenURL

  16. M Roux, Automatic registration of SPOT images and digitized maps. Proceedings of IEEE International Conference on Image Processing (ICIP '96), September 1996, Lausanne, Switzerland 2, 625–628

  17. SZ Li, J Kittler, M Petrou, Matching and recognition of road networks from aerial images. Proceedings of the 2nd European Conference on Computer Vision (ECCV '92), May 1992, Santa Margherita Ligure, Italy, 857–861

  18. M Sester, H Hild, D Fritsch, Definition of ground-control features for image registration using GIS-data. Proceedings of the Symposium on Object Recognition and Scene Classification from Multispectral and Multisensor Pixels CD-ROM, 1998, Columbus, Ohio, USA 32/3, 537–543

  19. H Maître, Y Wu, Improving dynamic programming to solve image registration. Pattern Recognition 20(4), 443–462 (1987). Publisher Full Text OpenURL

  20. H Neemuchwala, A Hero, P Carson, Image registration using alpha-entropy measures and entropic graphs. European Journal on Signal Processing (2004) (Special issue on content-based visual information retrieval, http://www, 2004), . elsevier.nl/locate/sigpro webcite OpenURL

  21. C Chatterjee, VP Roychowdhury, Algorithms for coplanar camera calibration. Machine Vision and Applications 12(2), 84–97 (2000). Publisher Full Text OpenURL

  22. Y Abdel-Aziz, H Karara, Direct linear transformation from comparator coordinates into object space coordinates in close range photogrammetry. Proceedings of the ASP/UI Symposium on Close-Range Photogrammetry, January 1971, Urbana, Ill, USA, 1–18

  23. A Abadpour, S Kasaei, Fast registration of remotely sensed images. Proceedings of the 10th Annual Computer Society of Iran Computer Conference (CSICC '05), February 2005, Tehran, Iran, 61–67

  24. SM Amiri, S Kasaei, An ultra fast method to approximate affine transform using control points submitted to IEEE Signal Processing Letters

  25. MJ Swain, DH Ballard, Color indexing. International Journal of Computer Vision 7(1), 11–32 (1991). Publisher Full Text OpenURL

  26. HY Lee, HK Lee, YH Ha, Spatial color descriptor for image retrieval and video segmentation. IEEE Transactions on Multimedia 5(3), 358–367 (2003). Publisher Full Text OpenURL

  27. D Androutsos, K Plataniotis, A Venetanopulos, in Efficient indexing and retrieval of color image data using a vector-based approach, Ph, ed. by . D. dissertation (University of Toronto, Toronto, Ontario, Canda, 1999)

  28. MC Shin, KI Chang, LV Tsap, Does colorspace transformation make any difference on skin detection? Proceedings of the 6th IEEE Workshop on Applications of Computer Vision (WACV '02), December 2002, Orlando, Fla, USA, 275–279

  29. A Abadpour, S Kasaei, A new parametric linear adaptive color space and its PCA-based implementation. Proceedings of the 9th Annual Computer Society of Iran Computer Conference (CSICC '04), February 2004, Tehran, Iran 2, 125–132

  30. A Abadpour, S Kasaei, Performance analysis of three homogeneity criteria for color image processing. Proceedings of IPM Workshop on Computer Vision, April 2004, Tehran, Iran

  31. Y Du, C-I Chang, PD Thouin, Unsupervised approach to color video thresholding. Optical Engineering 43(2), 282–289 (2004). Publisher Full Text OpenURL

  32. I Patras, EA Hendriks, RL Lagendijk, Semi-automatic object-based video segmentation with labeling of color segments. Signal Processing: Image Communication 18(1), 51–65 (2003). Publisher Full Text OpenURL

  33. A Abadpour, S Kasaei, A new FPCA-based fast segmentation method for color images. Proceedings of the 4th IEEE International Symposium on Signal Processing and Information Technology (ISSPIT '04), December 2004, Rome, Italy, 72–75

  34. DP Nikolaev, PP Nikolayev, Linear color segmentation and its implementation. Computer Vision and Image Understanding 94(1–3), 115–139 (2004)