A novel layover and shadow detection method for InSAR

Layover and shadow are ubiquitous phenomenon in SAR images. The singularity of phase in layover and shadow areas leads to severe difficulties for phase unwrapping and makes it hard to derive the height information of the target. Therefore they should be detected and dealt with. In this paper, an improvement is made to the classic eigenvalue decomposition method of layover and shadow detection, and a novel method based on the improved eigenvalue decomposition method, amplitude segmentation and the local frequency estimation is proposed to detect layover and shadow for InSAR images. The validity of the method proposed in this paper is testified by simulation.