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Proceedings Paper

Neural network ATR indexing system
Author(s): Allen Gee; David M. Doria; James D. Leonard
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Paper Abstract

We have developed a novel neural network based automatic target recognition (ATR) indexing system. This system utilizes regularization edge detection, adaptive vector quantization (AVQ) clustering, model driven feedback, and backpropagation trained networks. It can be designed to be invariant to either translation, or translation and rotation. The system incorporates both top-down and bottom-up processing to suppress background clutter.

Paper Details

Date Published: 2 September 1993
PDF: 8 pages
Proc. SPIE 1965, Applications of Artificial Neural Networks IV, (2 September 1993); doi: 10.1117/12.152542
Show Author Affiliations
Allen Gee, Hughes Aircraft Co. (United States)
David M. Doria, Hughes Aircraft Co. (United States)
James D. Leonard, Air Force Wright Lab. (United States)


Published in SPIE Proceedings Vol. 1965:
Applications of Artificial Neural Networks IV
Steven K. Rogers, Editor(s)

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