- Research Article
- Open Access
Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation
EURASIP Journal on Advances in Signal Processing volume 2006, Article number: 076462 (2006)
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.
Wiemker R, Speck A, Kulbach D, Spitzer H, Bienlein J: 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.
Fischer CS, Levien LM: Monitoring California's hardwood rangelands using remotely sensed data. Proceedings of the 5th Symposium on Oak Woodlands, October 2001, San Diego, Calif, USA
Bergen KM, Brown DG, Rutherford JR, Gustafson EJ: 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.
Matsuoka M, Yamazaki F: 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.
Andre G, Chiroiu L, Mering C, Chopin F: 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.
Nakamura M, Sakamoto M, Kakumoto S, Kosugi Y: 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
Brown LG: A survey of image registration techniques. ACM Computing Surveys 1992, 24(4):325–376. 10.1145/146370.146374
Townshend JRG, Justice CO, Gurney C, McManus J: The impact of misregistration on change detection. IEEE Transactions on Geoscience and Remote Sensing 1992, 30(5):1054–1060. 10.1109/36.175340
Zitova B, Flusser J: Image registration methods: a survey. Image and Vision Computing 2003, 21(11):977–1000. 10.1016/S0262-8856(03)00137-9
Robinson D, Milanfar P: Fundamental performance limits in image registration. Proceedings of IEEE International Conference on Image Processing (ICIP '03), September 2003, Barcelona, Spain 3: 323–326.
Li H, Manjunath BS, Mitra SK: A contour-based approach to multisensor image registration. IEEE Transactions on Image Processing 1995, 4(3):320–334. 10.1109/83.366480
Xia M, Liu B: Image registration by "Super-curves". IEEE Transactions on Image Processing 2004, 13(5):720–732. 10.1109/TIP.2003.822611
Helm M: 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.
Goshtasby A, Stockman GC: Point pattern matching using convex hull edges. IEEE Transactions on Systems, Man and Cybernetics 1985, 15(5):631–637.
Hsieh YC, McKeown DM, Perlant FP: Performance evaluation of scene registration and stereo matching for cartographic feature extraction. IEEE Transactions on Pattern Analysis and Machine Intelligence 1992, 14(2):214–238. 10.1109/34.121790
Roux M: 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.
Li SZ, Kittler J, Petrou M: 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.
Sester M, Hild H, Fritsch D: 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.
Maître H, Wu Y: Improving dynamic programming to solve image registration. Pattern Recognition 1987, 20(4):443–462. 10.1016/0031-3203(87)90071-9
Neemuchwala H, Hero A, Carson P: Image registration using alpha-entropy measures and entropic graphs. European Journal on Signal Processing 2004. Special issue on content-based visual information retrieval, https://doi.org/www.elsevier.nl/locate/sigpro
Chatterjee C, Roychowdhury VP: Algorithms for coplanar camera calibration. Machine Vision and Applications 2000, 12(2):84–97. 10.1007/s001380050127
Abdel-Aziz Y, Karara H: 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.
Abadpour A, Kasaei S: 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.
Amiri SM, Kasaei S: An ultra fast method to approximate affine transform using control points. submitted to IEEE Signal Processing Letters
Swain MJ, Ballard DH: Color indexing. International Journal of Computer Vision 1991, 7(1):11–32. 10.1007/BF00130487
Lee HY, Lee HK, Ha YH: Spatial color descriptor for image retrieval and video segmentation. IEEE Transactions on Multimedia 2003, 5(3):358–367. 10.1109/TMM.2003.814792
Androutsos D, Plataniotis K, Venetanopulos A: Efficient indexing and retrieval of color image data using a vector-based approach, Ph.D. dissertation. University of Toronto, Toronto, Ontario, Canda; 1999.
Shin MC, Chang KI, Tsap LV: 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.
Abadpour A, Kasaei S: 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.
Abadpour A, Kasaei S: Performance analysis of three homogeneity criteria for color image processing. Proceedings of IPM Workshop on Computer Vision, April 2004, Tehran, Iran
Du Y, Chang C-I, Thouin PD: Unsupervised approach to color video thresholding. Optical Engineering 2004, 43(2):282–289. 10.1117/1.1637364
Patras I, Hendriks EA, Lagendijk RL: Semi-automatic object-based video segmentation with labeling of color segments. Signal Processing: Image Communication 2003, 18(1):51–65. 10.1016/S0923-5965(02)00092-9
Abadpour A, Kasaei S: 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.
Nikolaev DP, Nikolayev PP: Linear color segmentation and its implementation. Computer Vision and Image Understanding 2004, 94(1–3):115–139.
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Abadpour, A., Kasaei, S. & Amiri, S.M. Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation. EURASIP J. Adv. Signal Process. 2006, 076462 (2006). https://doi.org/10.1155/ASP/2006/76462
- Information Technology
- Detection Method
- Quantum Information
- Change Detection
- Helpful Tool