Minimum squared error: synthetic discriminant function filter          performance evaluations

S. Richard F. Sims; Jim F. Epperson; Bhagavatula Vijaya Kumar; Abhijit Mahalanobis

doi:10.1117/12.138325

1 July 1992 Minimum squared-error: synthetic discriminant function filter performance evaluations

S. Richard F. Sims, Jim F. Epperson, Bhagavatula Vijaya Kumar, Abhijit Mahalanobis

Proceedings Volume 1701, Optical Pattern Recognition III; (1992) https://doi.org/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.

Citation Download Citation

S. Richard F. Sims, Jim F. Epperson, Bhagavatula Vijaya Kumar, and Abhijit Mahalanobis "Minimum squared-error: synthetic discriminant function filter performance evaluations", Proc. SPIE 1701, Optical Pattern Recognition III, (1 July 1992); https://doi.org/10.1117/12.138325

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