Fast registration of remotely sensed images for earthquake damage estimation

Authors:
Arash Abadpour;Shohreh Kasaei;S. Mohsen Amiri
Affiliations:
Department of Mathematical Science, Sharif University of Technology, Tehran, Iran;Department of Computer Engineering, Sharif University of Technology, Tehran, Iran;Department of Computer Engineering, Sharif University of Technology, Tehran, Iran
Venue:
EURASIP Journal on Applied Signal Processing
Year:
2006

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Abstract

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.