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Proceedings Paper

Application of the Neocognitron to target identification
Author(s): Harley R. Myler
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Paper Abstract

A derivative of the Fukashima Neocognitron was trained with a set of preprocessed target image chips for the purpose of target classification. The Neocognitron was chosen because of robust performance on handwritten characters that contain contours and complex line shapes not unlike the processed target images used in our multi-sensor/multi-look information fusion system. Advantages of the Neocognitron include translation and distortion invariance, which are desirable properties of any classifier. This paper represents our initial results and conclusions from experiments and data analysis using the Neocognitron on FLIR target sets of ground vehicles.

Paper Details

Date Published: 4 April 1997
PDF: 9 pages
Proc. SPIE 3077, Applications and Science of Artificial Neural Networks III, (4 April 1997); doi: 10.1117/12.271489
Show Author Affiliations
Harley R. Myler, Univ. of Central Florida (United States)

Published in SPIE Proceedings Vol. 3077:
Applications and Science of Artificial Neural Networks III
Steven K. Rogers, Editor(s)

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