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Proceedings Paper

Target classification in an optical/digital hybrid neural processor
Author(s): YanXin Zhang; Zhanbing Feng; Yuhua Li; Jianwen Yang; Shengquan Gao
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Paper Abstract

A programmable and reconfigurable optical/digital hybrid neural processor with 1024 neurones is described. The relatively large scale and flexibility of the processor benefit by the mutual complement of the optics and an on-line microcomputer. As an example of application, a target classification of 4 kinds of aircraft based on their binary images rotated in a plane by arbitrary angles is performed. The model is a cascaded neural network consisting of three subnets. The principle of the classifier and computer simulation are outlined. In the preliminary experiments, more than 89% of the unlearned images and imperfect ones can be classified correctly.

Paper Details

Date Published: 4 March 1996
PDF: 5 pages
Proc. SPIE 2664, Applications of Artificial Neural Networks in Image Processing, (4 March 1996); doi: 10.1117/12.234252
Show Author Affiliations
YanXin Zhang, Nankai Univ. (China)
Zhanbing Feng, Nankai Univ. (China)
Yuhua Li, Nankai Univ. (China)
Jianwen Yang, Nankai Univ. (China)
Shengquan Gao, Nankai Univ. (China)


Published in SPIE Proceedings Vol. 2664:
Applications of Artificial Neural Networks in Image Processing
Nasser M. Nasrabadi; Aggelos K. Katsaggelos, Editor(s)

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