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Proceedings Paper

Distance classifier correlation filters using multiple eigenvectors for enhanced class separation
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Paper Abstract

The use of multiple eigenvectors is proposed for improving the performance of multiclass distance classifier correlation filters (DCCFs). The results of tests to evaluate the performance of an automatic target recognition (ATR) system employing DCCFs as a function of range and resolution limits are presented. The results obtained demonstrate the ability of the proposed ATR to perform discrimination between similar targets at long ranges, and to successfully locate and identify targets imbedded in realistic background and clutter.

Paper Details

Date Published: 28 August 1995
PDF: 12 pages
Proc. SPIE 2565, Optical Implementation of Information Processing, (28 August 1995); doi: 10.1117/12.217668
Show Author Affiliations
Abhijit Mahalanobis, Hughes Missile Systems Co. (United States)
Bhagavatula Vijaya Kumar, Carnegie Mellon Univ. (United States)
S. Richard F. Sims, U.S. Army Aviation and Missile Command (United States)

Published in SPIE Proceedings Vol. 2565:
Optical Implementation of Information Processing
Bahram Javidi; Joseph L. Horner, Editor(s)

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