A Five-Component Decomposition Method with General Rotated Dihedral Scattering Model and Cross-Pol Power Assignment

The model-based polarimetric decomposition is extensively studied due to its simplicity and clear physical interpretation of Polarimetric Synthetic Aperture Radar (PolSAR) data. Though there are many fine basic scattering models well-designed methods, the overestimation volume (OVS) may still occur in highly oriented buildings, resulting severe mechanism ambiguity. It well known that not only vegetation areas but also buildings cause intense cross-pol power. To improve ambiguity, an appropriate model for a feasible strategy assign power between equal importance. From this point view, we propose five-component method with general rotated dihedral assignment established characterize integral internal from while achieved by using eigenvalue-based descriptor DOOB. In addition, simple branch condition explicit meaning proposed parameters inversion. Experiments on spaceborne Radarsat−2 C band airborne UAVSAR L PolSAR datasets demonstrate effectiveness advantages quantitative characterization mechanisms, especially buildings.