Man made target detection in a forest with a subspace detector

Rémi Durand (1) , Laetitia Thirion (1) , Guillaume Ginolhac (2) , Philippe Forster (2)

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

This paper deals with the capability of a SAR processor based on a subspace detector to get better performance than a classical SAR processor for Man Made Target (MMT) detection in a forest. The new algorithm aims at using new models, different from the isotropic point one commonly used in SAR processors. The implementation of the Subspace Detector SAR (SDSAR) algorithm is described and detection performances between a classical SAR (CSAR) algorithm and the SDSAR one are compared when detecting a MMT in white Gaussian noise and in a simulated forest.

Domaines: Traitement du signal et de l'image [eess.SP]; Traitement du signal et de l'image [eess.SP]

Rémi Durand, Laetitia Thirion, Guillaume Ginolhac, Philippe Forster. Man made target detection in a forest with a subspace detector. 2006 IEEE International Symposium on Geoscience and Remote Sensing (IGARSS 2006), Jul 2006, Denver, United States. ⟨10.1109/IGARSS.2006.43⟩. ⟨hal-00278611⟩