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

Author Affiliations +

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

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

;

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE