SAR Processor based on a CFAR Signal or Interference Subspace Detector Matched to Man Made Target Detection in a Forest

SAR Processor based on a CFAR Signal or Interference Subspace Detector Matched to Man Made Target Detection in a Forest

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 simulate...

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Hauptverfasser: Durand, R., Ginolhac, G., Thirion, L., Forster, P.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Clutter
Computational modeling
Computer Science
Covariance matrix
Detection
Detectors
Electromagnetic scattering
Engineering Sciences
FOPEN
Gaussian noise
Interference
Object detection
SAR
SAR processor
Signal and Image processing
Signal processing
Signal processing algorithms
Subspace Detector
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Beschreibung
Zusammenfassung: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.
ISSN:1520-6149
2379-190X
DOI:10.1109/ICASSP.2007.366230