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This paper addresses the problem of seismic damage based on the remote sensing image change detection. Comparison technique has long been recognized as an accurate model to describe a variety of image characteristics. Here, we develop algorithms, subtraction and ratio based on a disjointed pixel, correlativity and comparability based on neighboring pixels, respectively. By choosing the suitable threshold to segment differences in resulting images, we perform the post-earthquake damage assessment. Finally, the high resolution images acquired pre-and post-earthquake are presented for illustration and performance evaluation, and satisfied result are gained.