Pi-SAR image analysis using polarimetric scattering parameters and total power

This paper tries to classify POL-SAR image data using polarimetric entropy, averaged alpha angle, and total power. Using unsupervised classification scheme with iterative Maximum Likelihood (ML) classifier, it is possible to classify residential areas with trees and vegetation areas. The results are shown using Pi-SAR image data comparing with other representative methods.