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

Abstract : 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.
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https://hal-supelec.archives-ouvertes.fr/hal-00272370
Contributor : Walid Tabbara <>
Submitted on : Friday, April 11, 2008 - 2:25:38 PM
Last modification on : Tuesday, May 14, 2019 - 9:36:30 AM

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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⟩

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