Entropy among a sequency of SAR images for change detection

The coherence map between two images is frequently used to detect changes in a sequence of temporal SAR images and to evaluate the interferometric image quality. Recently, an alternative method for change detection was proposed: the entropy image. This paper performs the entropy calculation among several temporal SAR images. With this method, it is possible to calculate the entropy between two images considering intermediary, previously, or later acquired images, which contain information about the change process. It is shown that this method can improve the change detection performance in low coherence areas (using intermediary images) or in high coherence areas (using former or further images). Simulated images were used to show the performance of the method and to compare this method with coherence and entropy only between two images.