Paper
24 August 1999 Improving the false alarm capabilities of composite correlation filters
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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.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Bhagavatula Vijaya Kumar, Mohamed Alkanhal, and Abhijit Mahalanobis "Improving the false alarm capabilities of composite correlation filters", Proc. SPIE 3718, Automatic Target Recognition IX, (24 August 1999); https://doi.org/10.1117/12.359970
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Cited by 1 scholarly publication.
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KEYWORDS
Image filtering

Synthetic aperture radar

Automatic target recognition

Composites

Detection and tracking algorithms

Device simulation

Nonlinear filtering

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