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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Editor: Joseph N. Mait
  • Vol. 50, Iss. 10 — Apr. 1, 2011
  • pp: 1425–1433

Sparsity-motivated automatic target recognition

Vishal M. Patel, Nasser M. Nasrabadi, and Rama Chellappa  »View Author Affiliations


Applied Optics, Vol. 50, Issue 10, pp. 1425-1433 (2011)
http://dx.doi.org/10.1364/AO.50.001425


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Abstract

We present an automatic target recognition algorithm using the recently developed theory of sparse representations and compressive sensing. We show how sparsity can be helpful for efficient utilization of data for target recognition. We verify the efficacy of the proposed algorithm in terms of the recognition rate and confusion matrices on the well known Comanche (Boeing–Sikorsky, USA) forward-looking IR data set consisting of ten different military targets at different orientations.

© 2011 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(100.5010) Image processing : Pattern recognition
(330.5000) Vision, color, and visual optics : Vision - patterns and recognition
(100.3008) Image processing : Image recognition, algorithms and filters

ToC Category:
Image Processing

History
Original Manuscript: October 20, 2010
Revised Manuscript: January 21, 2011
Manuscript Accepted: January 29, 2011
Published: March 29, 2011

Virtual Issues
Vol. 6, Iss. 5 Virtual Journal for Biomedical Optics

Citation
Vishal M. Patel, Nasser M. Nasrabadi, and Rama Chellappa, "Sparsity-motivated automatic target recognition," Appl. Opt. 50, 1425-1433 (2011)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-50-10-1425

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