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Proceedings Paper

Minimum Bayes Risk Image Correlation
Author(s): T. C. Minter
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Paper Abstract

In this paper, the problem of designing a matched filter for image correlation will be treated as a statistical pattern recognition problem. It is shown that, by minimizing a suitable criterion, a matched filter can be estimated which approximates the optimum Bayes discriminant function in a least-squares sense. It is well known that the use of the Bayes discriminant function in target classification minimizes the Bayes risk, which in turn directly minimizes the probability of a false fix. A fast Fourier implementation of the minimum Bayes risk correlation procedure is described.

Paper Details

Date Published: 23 December 1980
PDF: 10 pages
Proc. SPIE 0238, Image Processing for Missile Guidance, (23 December 1980); doi: 10.1117/12.959147
Show Author Affiliations
T. C. Minter, Lockheed Engineering and Management Services Company (United States)


Published in SPIE Proceedings Vol. 0238:
Image Processing for Missile Guidance
Thomas F. Wiener, Editor(s)

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