Distance classifier correlation filters

Abhijit Mahalanobis; Daniel W. Carlson; Bhagavatula Vijaya Kumar; S. Richard F. Sims

doi:10.1117/12.177703

1 June 1994 Distance classifier correlation filters

Abhijit Mahalanobis; Daniel W. Carlson; Bhagavatula Vijaya Kumar; S. Richard F. Sims

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Proceedings Volume 2238, Hybrid Image and Signal Processing IV; (1994) https://doi.org/10.1117/12.177703
Event: SPIE's International Symposium on Optical Engineering and Photonics in Aerospace Sensing, 1994, Orlando, FL, United States

Abstract

The performance of shift-invariant distance classifiers based on correlation filters is evaluated. First, the effect of noise on a classifier designed to recognize synthetic aperture radar (SAR) is observed. Then, a 2-class ATR designed to recognize infrared images of actual targets is evaluated. The results attest to the ability of the distance classifier to tolerate distortions, and recognize targets in the presence of noise and clutter.

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Abhijit Mahalanobis, Abhijit Mahalanobis, Daniel W. Carlson, Daniel W. Carlson, Bhagavatula Vijaya Kumar, Bhagavatula Vijaya Kumar, S. Richard F. Sims, S. Richard F. Sims, } "Distance classifier correlation filters", Proc. SPIE 2238, Hybrid Image and Signal Processing IV, (1 June 1994); doi: 10.1117/12.177703; https://doi.org/10.1117/12.177703

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