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Proceedings Paper

Robust estimation of texture parameters for small-target detection in clutter
Author(s): Roger A. Samy; Jean-Francois Bonnet
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Paper Abstract

The detection of small targets in IR images is a problem requiring the enhancement of target signal and the suppression of clutter noise in the image. Classical methods require an a priori knowledge on target and clutter characteristics. We use a robust adaptive clutter whitener (RAWC) filter based on robust estimation of background texture parameters in order to whiten the clutter present in IR images. The output of this RAWC filter is then passed on Marr 2D wavelet filter for performing the optimal point target detection. Experimental results indicate the significant improvement over standard detection algorithm.

Paper Details

Date Published: 20 June 1997
PDF: 8 pages
Proc. SPIE 3062, Targets and Backgrounds: Characterization and Representation III, (20 June 1997); doi: 10.1117/12.276672
Show Author Affiliations
Roger A. Samy, SAGEM-SA (France)
Jean-Francois Bonnet, Univ. Paris V - Univ. Rene Descartes (France)


Published in SPIE Proceedings Vol. 3062:
Targets and Backgrounds: Characterization and Representation III
Wendell R. Watkins; Dieter Clement, Editor(s)

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