Target Level Change Detection in Multi-temporal SAR Images Based on Prior Position

Change detection of target level in SAR images is an interesting topic, which can be used in many important applications. In view of the image processing problem of target change detection, especially the practical problem of analyzing the target change information quickly in multitemporal spaceborne SAR images, this paper puts forward a method to detect the SAR image targets quickly in different periods based on the prior information of target location. In this method, a large number of SAR images are observed to analyze the probable positions of the targets. In the test images, we only need to detect targets and detect the change of targets in prior positions. This paper analyzes the increase, decrease, and relative position change of the target in the next time relative to the previous time from the perspective of quantity and position. Compared with the true value of real images change detection, this method can achieve 89.6% accuracy.