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Optimal detection of man-made targets in UWB SAR images

Emanuel Radoi 1 Deissy Garces Najar 2
1 Lab-STICC_UBO_CACS_COM
Lab-STICC - Laboratoire des sciences et techniques de l'information, de la communication et de la connaissance, UBO - Université de Brest
Abstract : This paper deals with the optimal detection of man-made targets in UWB SAR images obtained using a FOPEN radar. Conventional detection algorithms perform poorly in this case, mainly because of the spiky aspect of the foliage clutter. We propose to use the K-compound distribution to model this kind of impulsive clutter. A method to overcome the problem of the closed forms for the detection statistics and to obtain reference ROC curves in this case is also proposed in the paper. The detection results are compared to those obtained for a Rayleigh distributed clutter.
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https://hal.univ-brest.fr/hal-00485728
Contributor : Emanuel Radoi <>
Submitted on : Friday, May 21, 2010 - 3:56:32 PM
Last modification on : Wednesday, August 5, 2020 - 3:45:44 AM

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  • HAL Id : hal-00485728, version 1

Citation

Emanuel Radoi, Deissy Garces Najar. Optimal detection of man-made targets in UWB SAR images. MTA Review, 2007, XVII (1), pp.29-36. ⟨hal-00485728⟩

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