Paper
17 March 2008 Grayscale optical correlator for CAD/CAC applications
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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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Tien-Hsin Chao and Thomas Lu "Grayscale optical correlator for CAD/CAC applications", Proc. SPIE 6977, Optical Pattern Recognition XIX, 697704 (17 March 2008); https://doi.org/10.1117/12.785873
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Target detection

Image filtering

Optical correlators

Automatic target recognition

Land mines

Detection and tracking algorithms

Neural networks

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