1 July 1992 Minimum squared-error: synthetic discriminant function filter performance evaluations
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Proceedings Volume 1701, Optical Pattern Recognition III; (1992); doi: 10.1117/12.138325
Event: Aerospace Sensing, 1992, Orlando, FL, United States
Abstract
Several versions of synthetic discriminant functions have been proposed over the last twelve years. This paper describes the results of tests on the 'Minimum Squared Error SDF,' (MSE- SDF), a recently proposed variation, with some specific unique performance detection capabilities.
© (1992) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
S. Richard F. Sims, Jim F. Epperson, Bhagavatula Vijaya Kumar, Abhijit Mahalanobis, "Minimum squared-error: synthetic discriminant function filter performance evaluations", Proc. SPIE 1701, Optical Pattern Recognition III, (1 July 1992); doi: 10.1117/12.138325; https://doi.org/10.1117/12.138325
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KEYWORDS
Optical pattern recognition

Silicon

Fourier transforms

Detection and tracking algorithms

Mahalanobis distance

Optical filters

Computer programming

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