A pattern recognition Weiner filter for realistic clutter backgrounds

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 perfor...

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Bibliographic Details
Published in:Optics communications 1999-12, Vol.172 (1), p.193-202
Main Authors: Tan, Sovira, Young, Rupert C.D., Budgett, David M., Richardson, John D., Chatwin, Chris R.
Format: Article
Language:English
Subjects:
07.05.Pj
42.79.Hp
Clutter noise suppression
Noise model
Optical correlators
PACS: 42.30.Sy
Pattern recognition
Wiener filter
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Summary: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.
ISSN:0030-4018
1873-0310
DOI:10.1016/S0030-4018(99)00599-4