Robust estimation of texture parameters for small target detection in clutter

Roger A. Samy; Jean-Francois Bonnet

doi:10.1117/12.276672

20 June 1997 Robust estimation of texture parameters for small-target detection in clutter

Roger A. Samy, Jean-Francois Bonnet

Proceedings Volume 3062, Targets and Backgrounds: Characterization and Representation III; (1997) https://doi.org/10.1117/12.276672
Event: AeroSense '97, 1997, Orlando, FL, United States

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.

Citation Download Citation

Roger A. Samy and Jean-Francois Bonnet "Robust estimation of texture parameters for small-target detection in clutter", Proc. SPIE 3062, Targets and Backgrounds: Characterization and Representation III, (20 June 1997); https://doi.org/10.1117/12.276672

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