Improved InSAR Layover and Shadow Detection using Multi-Feature

Layover and shadow areas in SAR image cause InSAR interferometric phase unwrapping errors in adjacent area. Therefore, they should be detected and marked. Existing detection methods mostly use single feature, exhibiting poor universality in complicated scenes. In this paper, a joint detection method integrating multi-feature is proposed. It uses local frequency estimation and improved eigenvalue decomposition to make preliminary judgments, and then performs joint detection on the results of both. Its effectiveness is experimentally demonstrated from the detected results of simulated and real data: compared with existing methods, the joint detection greatly reduces false-alarm in problem areas detection while improves the accuracy.