A Pattern Recognition Wiener Filter for Realistic Clutter Backgrounds

Tan, Sovira, Young, Rupert C D, Budgett, David M, Richardson, John D and Chatwin, Chris R (1999) A Pattern Recognition Wiener Filter for Realistic Clutter Backgrounds. Optics Communications, 172 (1). pp. 193-202. ISSN 00304018

Full text not available from this repository.

Abstract

The Wiener filter can be used in place of the matched filter in correlation based pattern recognition. It has been shown to be capable of detecting a target in severe clutter backgrounds provided the clutter power spectrum is included in the filter transfer function. It is shown here that the performance degrades very markedly if a different background from that used to create the filter is present at the input. However, multiple input scene power spectrum averaging is shown to considerably improve the performance, even when previously unknown backgrounds are encountered that have not been included in the averaged spectrum. This leads to the generation of a clutter power spectrum model and it is shown that use of this in the filter transfer function allows much improved clutter resistance when unknown background scenes are encountered, improving the prospects for the practical application of the filter to demanding pattern recognition problems.

Item Type: Article
Schools and Departments: School of Engineering and Informatics > Engineering and Design
Depositing User: Rupert Young
Date Deposited: 06 Feb 2012 19:23
Last Modified: 30 Mar 2012 08:45
URI: http://sro.sussex.ac.uk/id/eprint/20411
📧 Request an update