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Proceedings Paper

Eigen-extended maximum average correlation height (EEMACH) filters for automatic target recognition
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Paper Abstract

Correlation filters are attractive for SAR automatic target recognition (ATR) due to their distortion tolerance ability. Recently, a new filter called the extended maximum average correlation height (EMACH) filter was shown to exhibit low false alarm rate while providing good distortion tolerance. The trade-off between distortion tolerance and clutter rejection is achieved in the EMACH filter by selecting a parameter (beta) . The performance of this filter was examined using a simulated SAR database. In this paper, we develop a new filter called the eigen EMACH filter. This filter is based on decomposing the EMACH filter using the eigen-analysis. We show that this filter has better generalization ability compared to the EMACH filter. Also, we illustrate that this filter exhibits a consistent performance over a wide range of (beta) values. In this paper, we show that this filter provides better representation of the desired class while retaining the clutter rejection capability of the original EMACH filter. We use the MSTAR databases to test the performance of this filter.

Paper Details

Date Published: 22 October 2001
PDF: 8 pages
Proc. SPIE 4379, Automatic Target Recognition XI, (22 October 2001); doi: 10.1117/12.445390
Show Author Affiliations
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
Mohamed Alkanhal, Carnegie Mellon Univ. (Saudi Arabia)


Published in SPIE Proceedings Vol. 4379:
Automatic Target Recognition XI
Firooz A. Sadjadi, Editor(s)

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