Proceeding of the Joint International Symposium on Deformatuon Monitoring. 2-4 November, 2011. Hong Kong. China. Report. High-resolution optical and SAR images are fused to detect the earthquake damage for the 2008 Wenchuan earthquake. First, all the images should be projected and registered in a united geo-reference to get a superposition building ground features. The quantitative correlation coefficient from an Envisat ASAR image series was used as a rapid and direct way to get the degree of change in ground surface objects. Then the parts edges of building were extracted with the help of the Object-Oriented classification results from aero optical images. To explore the relationship between the damage of the man-made objects and the disaster source, several scattering transform models of the damaged objects were analyzed with the geological background. Using the overlay tools in GIS, we could detect the damaged part of buildings. The result showed that the heaviest damage, such as collapse and distortion, had a large decrease in correlation and was mainly distributed near the rupture.