28 August 1995 Distance classifier correlation filters using multiple eigenvectors for enhanced class separation
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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.
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Abhijit Mahalanobis, Abhijit Mahalanobis, Bhagavatula Vijaya Kumar, Bhagavatula Vijaya Kumar, S. Richard F. Sims, S. Richard F. Sims, } "Distance classifier correlation filters using multiple eigenvectors for enhanced class separation", Proc. SPIE 2565, Optical Implementation of Information Processing, (28 August 1995); doi: 10.1117/12.217668; https://doi.org/10.1117/12.217668
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