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Proceedings Paper

Target detection in a neural-network environment
Author(s): John F. Gilmore; Andrew J. Czuchry
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Paper Abstract

A primary concern of target recognition systems is the actual detection of targets in a scene. Whereas identification assigns each detected target to a class, targets that go undetected are not considered. This leads to deteriorating system performance. This paper describes a neural network approach to the target recognition problem that exploits target composition in conjunction with structure to detect targets. An automatic target recognition architecture is presented to identify how the neural network environment may be integrated into existing systems. The neural network system is described in detail and the training process delineated to show the actual implementation and training issues involved. Performance of the system is documented through evaluative analysis of results generated using an infrared image database. The research performed to date is summarized and a discussion of future developments and their complement to the target recognition process is presented.

Paper Details

Date Published: 1 January 1990
PDF: 18 pages
Proc. SPIE 1293, Applications of Artificial Intelligence VIII, (1 January 1990); doi: 10.1117/12.21061
Show Author Affiliations
John F. Gilmore, Georgia Tech Research Institute (United States)
Andrew J. Czuchry, Georgia Tech Research Institute (United States)


Published in SPIE Proceedings Vol. 1293:
Applications of Artificial Intelligence VIII
Mohan M. Trivedi, Editor(s)

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