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Proceedings Paper

Improving the false alarm capabilities of composite correlation filters
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Paper Abstract

Despite much prior work, one of the problems that still persists in using composite correlation filters for Automatic Target Recognition (ATR) is the high false alarm rate due to clutter. In this paper, we propose two methods (one based on clustering and another based on extending the maximum average correlation height or MACH filter) to improve the clutter rejection capability of composite filters. Initial numerical results are presented to illustrate the potential improvements.

Paper Details

Date Published: 24 August 1999
PDF: 10 pages
Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); doi: 10.1117/12.359970
Show Author Affiliations
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
Mohamed Alkanhal, Carnegie Mellon Univ. (Saudi Arabia)
Abhijit Mahalanobis, Raytheon Missile Systems Co. (United States)


Published in SPIE Proceedings Vol. 3718:
Automatic Target Recognition IX
Firooz A. Sadjadi, Editor(s)

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