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Proceedings Paper

Optical Processing Of Optical Correlation Plane Data
Author(s): H. J. Caulfield
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Paper Abstract

Space-invariant lateral interconnects and winner-take-all concepts can be combined to produce optical neural networks to process the output plane of a conventional optical pattern recognition system. Advantages in clutter rejection, sensor fusion, preference for smoothly moving targets, etc. are readily obtainable. The output plane energy distribution will be vastly simplified as well. In the limit, the output plane will be one or more isolated points representing target locations.

Paper Details

Date Published: 29 June 1989
PDF: 3 pages
Proc. SPIE 1053, Optical Pattern Recognition, (29 June 1989); doi: 10.1117/12.951520
Show Author Affiliations
H. J. Caulfield, The University of Alabama in Huntsville (United States)

Published in SPIE Proceedings Vol. 1053:
Optical Pattern Recognition
Hua-Kuang Liu, Editor(s)

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