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Applied Optics

Applied Optics


  • Editor: James C. Wyant
  • Vol. 47, Iss. 29 — Oct. 10, 2008
  • pp: 5534–5540

Clutter metric based on the Cramer–Rao lower bound on automatic target recognition

Guojing He, Jianqi Zhang, Delian Liu, and Honghua Chang  »View Author Affiliations

Applied Optics, Vol. 47, Issue 29, pp. 5534-5540 (2008)

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This is a performance evaluation on the implementation of the Cramer–Rao lower bound (CRLB) for background clutter measurement on automatic target recognition (ATR). In essence the background clutter evaluation problem for ATR is consistent with the deterministic parameter estimation problem. Thus, useful concepts and theories of deterministic parameter estimation can be introduced into the investigation of background clutter. In this paper, the CRLB is employed as a metric for clutter measurement. Requirements needed for this application are analyzed, and the approach for obtaining the CRLB of a scene image is produced. The flexibility of the CRLB metric is analyzed. Discussion and comparison are made on the relationship between the CRLB metric and the Sims signal-to-clutter metric. Finally, we illustrate how this metric defines the potential for false alarms by determining the correspondence level between a target and background through the application of the CRLB.

© 2008 Optical Society of America

OCIS Codes
(100.0100) Image processing : Image processing
(100.2960) Image processing : Image analysis
(110.3080) Imaging systems : Infrared imaging
(100.4995) Image processing : Pattern recognition, metrics

ToC Category:
Image Processing

Original Manuscript: June 19, 2008
Revised Manuscript: September 5, 2008
Manuscript Accepted: September 7, 2008
Published: October 9, 2008

Guojing He, Jianqi Zhang, Delian Liu, and Honghua Chang, "Clutter metric based on the Cramer-Rao lower bound on automatic target recognition," Appl. Opt. 47, 5534-5540 (2008)

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