Distance classifier correlation filters using multiple eigenvectors for enhanced class separation

Abhijit Mahalanobis; B. V.K. Vijaya Kumar; S. Richard F. Sims

Distance classifier correlation filters using multiple eigenvectors for enhanced class separation

Abhijit Mahalanobis
, B. V.K. Vijaya Kumar
, S. Richard F. Sims

Electrical and Computer Engr

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 Scopus citations

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.

Original language	English (US)
Title of host publication	Proceedings of SPIE - The International Society for Optical Engineering
Pages	50-61
Number of pages	12
State	Published - 1995
Event	Optical Implementation of Information Processing - San Diego, CA, USA Duration: Jul 10 1995 → Jul 11 1995

Publication series

Name	Proceedings of SPIE - The International Society for Optical Engineering
Volume	2565
ISSN (Print)	0277-786X

Conference

Conference	Optical Implementation of Information Processing
City	San Diego, CA, USA
Period	7/10/95 → 7/11/95

ASJC Scopus subject areas

Electronic, Optical and Magnetic Materials
Condensed Matter Physics
Computer Science Applications
Applied Mathematics
Electrical and Electronic Engineering

Cite this

Distance classifier correlation filters using multiple eigenvectors for enhanced class separation. / Mahalanobis, Abhijit; Vijaya Kumar, B. V.K.; Sims, S. Richard F.
Proceedings of SPIE - The International Society for Optical Engineering. 1995. p. 50-61 (Proceedings of SPIE - The International Society for Optical Engineering; Vol. 2565).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Mahalanobis, A, Vijaya Kumar, BVK & Sims, SRF 1995, Distance classifier correlation filters using multiple eigenvectors for enhanced class separation. in Proceedings of SPIE - The International Society for Optical Engineering. Proceedings of SPIE - The International Society for Optical Engineering, vol. 2565, pp. 50-61, Optical Implementation of Information Processing, San Diego, CA, USA, 7/10/95.

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title = "Distance classifier correlation filters using multiple eigenvectors for enhanced class separation",

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.",

author = "Abhijit Mahalanobis and \{Vijaya Kumar\}, \{B. V.K.\} and Sims, \{S. Richard F.\}",

year = "1995",

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series = "Proceedings of SPIE - The International Society for Optical Engineering",

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AU - Mahalanobis, Abhijit

AU - Vijaya Kumar, B. V.K.

AU - Sims, S. Richard F.

PY - 1995

Y1 - 1995

N2 - 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.

AB - 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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UR - https://www.scopus.com/pages/publications/0029507681#tab=citedBy

M3 - Conference contribution

AN - SCOPUS:0029507681

SN - 0819419249

SN - 9780819419248

T3 - Proceedings of SPIE - The International Society for Optical Engineering

SP - 50

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BT - Proceedings of SPIE - The International Society for Optical Engineering

T2 - Optical Implementation of Information Processing

Y2 - 10 July 1995 through 11 July 1995

ER -

Distance classifier correlation filters using multiple eigenvectors for enhanced class separation

Abstract

Publication series

Conference

ASJC Scopus subject areas

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