Five-component Scattering Power Decomposition for Hybrid Compact Polarimetric SAR Data

Existing scattering models of hybrid compact polarimetric (HCP) synthetic aperture radar (SAR) are all three-component scattering models, which generally have the problem of the overestimation of volume scattering, and cannot achieve a more detailed description for complex targets. In this paper, a volume scattering model, a dihedral-volume scattering model and a surface-volume scattering model corresponding to the depolarization caused by the forests and vegetation region, the urban region and the water region, are established respectively. A five-component scattering power decomposition for HCP SAR data is proposed thereby. Experiments on RISAT-1 dataset show that the proposed method can more accurately highlight the representative scattering mechanism in different typical regions than existing power decomposition methods, successfully separate the surface-volume component and the dihedral-volume component which are confused with the volume scattering power in existing methods, and provide a powerful tool for the description of complex targets.