POLSAR Image Classification Based on Polarimetric Decomposition and Generalized Discriminant Analysis

In this paper, a new classification scheme of fully polarimetric SAR images is proposed. This is based on the joint use of the Freeman-Durden decomposition and generalized discriminant analysis, a new method for Feature extraction. After getting the powers of the three scattering mechanism components through Freeman-Durden decomposition, the Feature extraction algorithm is introduced to well exploit the information available in the full polarimetric coherency matrix. The experimental results show that using this exploited information as new features of Fisher classification, can provides fine performance and good compactness.