Neyman–Pearson Criterion-Based Change Detection Methods for Wavelength–Resolution SAR Image Stacks

This letter presents two new change detection (CD) methods for synthetic aperture radar (SAR) image stacks based on the Neyman–Pearson criterion. The first proposed method uses data from wavelength–resolution images stack to obtain background statistics, which are used in a hypothesis test detect changes surveillance image. second considers a priori information about targets target together with previously obtained perform A straightforward processing scheme is presented CD methods. To assess performance of both methods, we considered coherent all radio band sensing (CARABAS)-II SAR images. In particular, temporal statistics required by derived six experimental results show that techniques provide competitive terms probability and false alarm rate compared other