A Shape Similarity Based Change Detection Approach of Multi-resolution Remote Sensing Images

While a lot of approaches have been reported for change detection using high resolution images, few approaches which are used for different scale images have been developed. This paper proposes a change detection approach which can be used to detect the change in images with different scales. In this study, image objects have been extracted from images obtained at different time. Then, descriptors to describe the shape features are constructed. After that, the similarity between corresponding features is defined to measure whether the observed objects changed or not. To test the proposed approach, a test for building change detection is designed. The accuracy of our result is 96.1%, which is distinctly higher than that of conventional method 81.9%. The primary results show that the proposed approach is feasible and valid.