Polarimetric SAR classification by three component scattering model decomposition technique

摘要

Scattering matrix acquired by Polarimetric synthetic aperture radar is a function of incidence angle, wavelength, resolution and polarization. In this report. Polarimetric image analysis is carried out, in which scattering matrix is decomposed into three component scattering model (surface scattering, double bounce, volume scattering). Then the entire image was classified by the supervised Maximum Likelihood method using these components. It was found that the feature vector contributed to high classification of SAR image simply using three scattering model decomposition technique.