Minimum Bayes risk image correlationIn 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.
Document ID
19810054942
Acquisition Source
Legacy CDMS
Document Type
Conference Proceedings
Authors
Minter, T. C., Jr. (Lockheed Engineering and Management Services Co. Houston, TX, United States)
Date Acquired
August 11, 2013
Publication Date
January 1, 1980
Subject Category
Instrumentation And Photography
Meeting Information
Meeting: Seminar on Image processing for missile guidance