Tuyển tập báo cáo các nghiên cứu khoa học quốc tế ngành hóa học dành cho các bạn yêu hóa học tham khảo đề tài: Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation | Hindawi Publishing Corporation EURASIP Journal on Applied Signal Processing Volume 2006 Article ID 76462 Pages 1-10 DOI ASP 2006 76462 Fast Registration of Remotely Sensed Images for Earthquake Damage Estimation Arash Abadpour 1 Shohreh Kasaei 2 and S. Mohsen Amiri2 1 Department of Mathematical Science Sharif University of Technology . Box 11365-9415 Tehran Iran 2 Department of Computer Engineering Sharif University of Technology . Box 11365-9517 Tehran Iran Received 13 February 2005 Revised 16 September 2005 Accepted 26 September 2005 Recommended for Publication by Stephen Marshall 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. Copyright 2006 Hindawi Publishing Corporation. All rights reserved. 1. INTRODUCTION In recent years the spatial and spectral resolutions of remotely sensed sensors and the revisiting frequency of satellites have increased extensively. These developments have offered the possibility of addressing new applications of remote sensing in environmental monitoring. On the other hand the officials are getting more and more aware of using multi-spectral remotely sensed images for regular and efficient control of the environment 1 2 . Change detection of remotely sensed images can be viewed as a general case of a global motion estimation usually used in the video coding applications. However the following should be noted. i In video coding applications objects are likely to be presented in the next frame unless we have occlusions newly appeared objects or lightning changes or when we deal with degraded images. .
