SAR processor based on a CFAR signal on interference subspace detector matched to man-made target detection in a forest

Rémy Durand (1) , Guillaume Ginolhac (2) , Philippe Forster (2) , Laetitia Thirion-Lefevre (1)

1 SONDRA - Sondra, CentraleSupélec, Université Paris-Saclay (COmUE)
2 GEA - Groupe d'Electromagnétisme Appliqué

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.

Domains: Engineering Sciences [physics]; Signal and Image processing; Computer Science [cs]; Signal and Image Processing

Rémy Durand, Guillaume Ginolhac, Philippe Forster, Laetitia Thirion-Lefevre. SAR processor based on a CFAR signal on interference subspace detector matched to man-made target detection in a forest. 2007 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2007), Apr 2007, Honolulu, United States. ⟨10.1109/ICASSP.2007.366230⟩. ⟨hal-00272370⟩