Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation

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.

[1]  Monika Sester,et al.  DEFINITION OF GROUND-CONTROL FEATURES FOR IMAGE REGISTRATION USING GIS-DATA , 2007 .

[2]  Michel Roux.  Automatic registration of SPOT images and digitized maps , 1996, Proceedings of 3rd IEEE International Conference on Image Processing.

[3]  BrownLisa Gottesfeld.  A survey of image registration techniques , 1992 .

[4]  Josef Kittler,et al.  Matching and Recognition of Road Networks from Aerial Images , 1992, ECCV.

[5]  Daniel G. Brown,et al.  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 , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[6]  Huzefa Neemuchwala,et al.  Image registration using alpha-entropy measures and entropic graphs , 2002 .

[7]  Bede Liu,et al.  Image registration by "Super-curves" , 2004, IEEE Transactions on Image Processing.

[8]  Min C. Shin,et al.  Does colorspace transformation make any difference on skin detection? , 2002, Sixth IEEE Workshop on Applications of Computer Vision, 2002. (WACV 2002). Proceedings..

[9]  Dmitry P. Nikolaev,et al.  Linear color segmentation and its implementation , 2004, Comput. Vis. Image Underst..

[10]  Michael J. Swain,et al.  Color indexing , 1991, International Journal of Computer Vision.

[11]  Hui.  A Contour-Based Approach to Multisensor Image Registration , 1995 .

[12]  Christopher Justice,et al.  The impact of misregistration on change detection , 1992, IEEE Trans. Geosci. Remote. Sens..

[13]  Anastasios N. Venetsanopoulos,et al.  Efficient indexing and retrieval of colour image data using a vector-based approach , 1999 .

[14]  Yuan C. Hsieh,et al.  Performance Evaluation of Scene Registration and Stereo Matching for Artographic Feature Extraction , 1992, IEEE Trans. Pattern Anal. Mach. Intell..

[15]  Lisa M. Levien,et al.  Monitoring California's Hardwood Rangelands Using Remotely Sensed Data , 2002 .

[16]  Chein-I Chang,et al.  An unsupervised approach to color video thresholding , 2003, 2003 International Conference on Multimedia and Expo. ICME '03. Proceedings (Cat. No.03TH8698).

[17]  Vwani P. Roychowdhury,et al.  Algorithms for coplanar camera calibration , 2000, Machine Vision and Applications.

[18]  G. Andre,et al.  Building destruction and damage assessment after earthquake using high resolution optical sensors. The case of the Gujarat earthquake of January 26, 2001 , 2003, IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477).

[19]  Ioannis Patras,et al.  Semi-automatic object-based video segmentation with labeling of color segments , 2003, Signal Process. Image Commun..

[20]  Rafael Wiemker,et al.  UNSUPERVISED ROBUST CHANGE DETECTION ON MULTISPECTRAL IMAGERY USING SPECTRAL AND SPATIAL FEATURES , 1997 .

[21]  S. Kasaei,et al.  A new FPCA-based fast segmentation method for color images , 2004, Proceedings of the Fourth IEEE International Symposium on Signal Processing and Information Technology, 2004..

[22]  Jan Flusser,et al.  Image registration methods: a survey , 2003, Image Vis. Comput..

[23]  Henri Maître,et al.  Improving dynamic programming to solve image registration , 1987, Pattern Recognit..

[24]  H. M. Karara,et al.  Direct Linear Transformation from Comparator Coordinates into Object Space Coordinates in Close-Range Photogrammetry , 2015 .

[25]  Peyman Milanfar,et al.  Fundamental performance limits in image registration , 2003, IEEE Transactions on Image Processing.

[26]  Shohreh Kasaei,et al.  Fast Registration of Remotely Sensed Images , 2005 .

[27]  Masashi Matsuoka,et al.  Application of the damage detection method using SAR intensity images to recent earthquakes , 2002, IEEE International Geoscience and Remote Sensing Symposium.

[28]  Yeong-Ho Ha,et al.  Spatial color descriptor for image retrieval and video segmentation , 2003, IEEE Trans. Multim..

[29]  A. Ardeshir Goshtasby,et al.  Point pattern matching using convex hull edges , 1985, IEEE Transactions on Systems, Man, and Cybernetics.

[30]  Lisa M. Brown,et al.  A survey of image registration techniques , 1992, CSUR.

[31]  M. Helm,et al.  Towards Automatic Rectification Of Satellite Images Using Feature Based Matching , 1991, [Proceedings] IGARSS'91 Remote Sensing: Global Monitoring for Earth Management.