Similarity-enhanced target detection algorithm based on multiple PolSAR Similarity Parameter

Target analysis and detection using Polarimetric Synthetic Aperture Radar (PolSAR) image is currently of great interest in SAR applications. The scattering mechanism may be very complex because of speckle and the vector superposition of the scattering echo. In the existing polarimetric features, Polarimetric Similarity Parameter (PSP) is an effective parameter to analyze the scattering characteristics. Based on the similarity or coherence of the target in the multiple PolSAR images, the Multiple PolSAR Similarity Parameter (MPSP) is proposed and defined using the eigenvalues of two polarimetric coherence matrices. Therefore, the characteristic of a target can be described and extracted using MPSP, and then the similarity-enhanced target detection method based on MPSP is implemented and demonstrated with DLR E-SAR L-band multiple-temporal PolSAR images of Oberpfaffenhofen test site. The results confirmed that the proposed method is effective for detection and analysis of buildings in urban areas.