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Grayscale optical correlator for CAD/CAC applications
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Paper Abstract

This paper describes JPL's recent work on high-performance automatic target recognition (ATR) processor consisting of a Grayscale Optical Correlator (GOC) and neural network for various Computer Aided Detection and Computer Aided Classification (CAD/CAC) applications. A simulation study for sonar mine and mine-like target detection and classification is presented. Applications to periscope video ATR is also presented.

Paper Details

Date Published: 17 March 2008
PDF: 6 pages
Proc. SPIE 6977, Optical Pattern Recognition XIX, 697704 (17 March 2008); doi: 10.1117/12.785873
Show Author Affiliations
Tien-Hsin Chao, Jet Propulsion Lab. (United States)
Thomas Lu, Jet Propulsion Lab. (United States)

Published in SPIE Proceedings Vol. 6977:
Optical Pattern Recognition XIX
David P. Casasent; Tien-Hsin Chao, Editor(s)

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