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Proceedings Paper

Improved clutter rejection in automatic target recognition (ATR) synthetic aperture radar (SAR) imagery using the extended maximum average correlation height (EMACH) filter
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Paper Abstract

Correlation filters are attractive for synthetic aperture radar (SAR) automatic target recognition (ATR) because of their shift invariance and potential for distortion-tolerant pattern recognition. In particular, the maximum average correlation height (MACH) filter exhibits better distortion tolerance than other linear correlation filters. Despite its attractive features, it has been shown that the MACH filter relies perhaps too heavily on the average training image leading to poor clutter rejection performance. To improve the clutter rejection performance, we have introduced the extended MACH (EMACH) filter. We have shown that this new filter is better at rejecting clutter images while retaining the distortion tolerance feature of the original MACH filter. In this paper, we introduce a method to decompose the EMACH filter to further improve its performance. The paper describes the theory of this method and shows its potential advantages. Test results of this method using the public domain MSTAR data base are shown.

Paper Details

Date Published: 24 August 2000
PDF: 8 pages
Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396344
Show Author Affiliations
Mohamed Alkanhal, Carnegie Mellon Univ. (Saudi Arabia)
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
Abhijit Mahalanobis, Raytheon Systems Co. (United States)

Published in SPIE Proceedings Vol. 4053:
Algorithms for Synthetic Aperture Radar Imagery VII
Edmund G. Zelnio, Editor(s)

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