Improved Unsupervised Classification Based on Freeman-Durden Polarimetric Decomposition

An improved unsupervised classification algorithm based on Freeman-Durden decomposition is presented. We survey the four different combinations of three basic scattering mechanisms by introducing the scattering power entropy and anisotropy parameter. Classification result on NASA/JPL AIRSAR L-band PolSAR data demonstrates the effectiveness of this algorithm.