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

Mohamed Alkanhal; Bhagavatula Vijaya Kumar; Abhijit Mahalanobis

doi:10.1117/12.396344

24 August 2000 Improved clutter rejection in automatic target recognition (ATR) synthetic aperture radar (SAR) imagery using the extended maximum average correlation height (EMACH) filter

Mohamed Alkanhal, Bhagavatula Vijaya Kumar, Abhijit Mahalanobis

Author Affiliations +

Proceedings Volume 4053, Algorithms for Synthetic Aperture Radar Imagery VII; (2000) https://doi.org/10.1117/12.396344
Event: AeroSense 2000, 2000, Orlando, FL, United States

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.

Citation Download Citation

Mohamed Alkanhal, Bhagavatula Vijaya Kumar, and Abhijit Mahalanobis "Improved clutter rejection in automatic target recognition (ATR) synthetic aperture radar (SAR) imagery using the extended maximum average correlation height (EMACH) filter", Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); https://doi.org/10.1117/12.396344

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