Robust estimation of texture parameters for small-target detection in clutter
- Resource Type
- Authors
- Roger Samy; Jean-Francois Bonnet
- Source
- SPIE Proceedings.
- Subject
- Adaptive filter
Computer science
business.industry
Noise reduction
Stationary target indication
Clutter
Computer vision
Filter (signal processing)
Artificial intelligence
business
Point target
Digital filter
Constant false alarm rate
- Language
- ISSN
- 0277-786X
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.