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Proceedings Paper

A Knowledge Based Expert-System For Synthetic Aperture Radar Target Recognition
Author(s): Steven K. Rogers; Matthew Kabrisky; Steven Anderson; James P. Mills
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Paper Abstract

This paper describes a knowledge-based expert system that uses return features, provided by image analysts, to identify an object as a specific instance or class of object, such as a tank or truck. Partial feature sets allow the expert system to classify occluded and unfamiliar or falsified object data returns to the most likely class with a specified reasoning path. The rule based system was developed using the Prolog version of Ml.

Paper Details

Date Published: 29 March 1988
PDF: 3 pages
Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); doi: 10.1117/12.946958
Show Author Affiliations
Steven K. Rogers, Air Force Institute of Technology (United States)
Matthew Kabrisky, Air Force Institute of Technology (United States)
Steven Anderson, Air Force Institute of Technology (United States)
James P. Mills, Air Force Institute of Technology (United States)

Published in SPIE Proceedings Vol. 0937:
Applications of Artificial Intelligence VI
Mohan M. Trivedi, Editor(s)

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