Due to its all-weather capability and stable repeat observations, synthetic aperture radar is able to provide timely information after a natural disaster. In this study, we developed a multi-scale matching technique to efficiently and effectively integrate multi-temporal for fast and accurate change detection. Experimental test results from RADARSAT and ALOS satellite radar images confirm that the proposed automatic registration scheme based on a multi-scale matching greatly reduces the artificial error and required computation, and thus is highly feasible for operational purpose.