New polarimetric SAR processors based on signal and interference subspace models

We develop in this paper new polarimetric SAR processors based on signal and interference subspaces model. These processors aim at using models with physical and polarimetric scattering properties not exploited by the isotropic point model. Our goal is to increase the response of the target and decrease the response of the interferences. These processors are implemented by computing the corresponding target and interference subspaces. Results on FOPEN simulated data with realistic target show the interest and the limits of these new processors.