Optical implementation of neocognitron and its applications to radar signature discrimination

Tien-Hsin Chao; William W. Stoner

doi:10.1117/12.49657

11 November 1991 Optical implementation of neocognitron and its applications to radar signature discrimination

Tien-Hsin Chao, William W. Stoner

Proceedings Volume 1558, Wave Propagation and Scattering in Varied Media II; (1991) https://doi.org/10.1117/12.49657
Event: San Diego, '91, 1991, San Diego, CA, United States

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.

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Tien-Hsin Chao and William W. Stoner "Optical implementation of neocognitron and its applications to radar signature discrimination", Proc. SPIE 1558, Wave Propagation and Scattering in Varied Media II, (11 November 1991); https://doi.org/10.1117/12.49657

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