Distance classifier correlation filters using multiple eigenvectors for enhanced class separation

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

doi:10.1117/12.217668

28 August 1995 Distance classifier correlation filters using multiple eigenvectors for enhanced class separation

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

Proceedings Volume 2565, Optical Implementation of Information Processing; (1995) https://doi.org/10.1117/12.217668
Event: SPIE's 1995 International Symposium on Optical Science, Engineering, and Instrumentation, 1995, San Diego, CA, United States

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.

Citation Download Citation

Abhijit Mahalanobis, Bhagavatula Vijaya Kumar, and 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); https://doi.org/10.1117/12.217668

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

Includes PDF, HTML & Video, when available