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Proceedings Paper

Optical implementation of neocognitron and its applications to radar signature discrimination
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Paper Abstract

A feature-extraction-based optoelectronic neural network is introduced. The system implementation approach applies the principle of the neocognitron paradigm first introduced by Fukushima et al. (1983). A multichannel correlator is used as a building block of a generic single layer of the neocognitron for shift-invariant feature correlation. Multilayer processing is achieved by iteratively feeding back the output of the feature correlator to the input spatial light modulator. Successful pattern recognition with intraclass fault tolerance and interclass discrimination is achieved using this optoelectronic neocognitron. Detailed system analysis is described. Experimental demonstration of radar signature processing is also provided.

Paper Details

Date Published: 11 November 1991
PDF: 13 pages
Proc. SPIE 1558, Wave Propagation and Scattering in Varied Media II, (11 November 1991); doi: 10.1117/12.49657
Show Author Affiliations
Tien-Hsin Chao, Jet Propulsion Lab. (United States)
William W. Stoner, Science Applications International Corp. (United States)

Published in SPIE Proceedings Vol. 1558:
Wave Propagation and Scattering in Varied Media II
Vijay K. Varadan, Editor(s)

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