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, *
* Corresponding author
1 SONDRA - Sondra, CentraleSupélec, Université Paris-Saclay
2 GEA - Groupe d'Electromagnétisme Appliqué
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.
Document type :
Conference papers
Complete list of metadatas
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

Identifiers

Collections

ONERA | SUPELEC | SUP_SONDRA

Citation

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⟩

Export

BibTeX TEI DC DCterms EndNote

Share

Metrics

Record views

199

Contact

CCSD