SAR processor based on a CFAR signal on interference subspace detector matched to man-made target detection in a forest
Résumé
This paper deals with two new SAR processors based on CFAR subspaces detector. These two algorithms aim at improving man made target detection performances in a forest clutter by using electromagnetic scattering models. The implementation of the two detectors is described. An application on simulated data shows the interest of the two methods.