A Knowledge Based Expert-System For Synthetic Aperture Radar Target Recognition

Steven K. Rogers; Matthew Kabrisky; Steven Anderson; James P. Mills

doi:10.1117/12.946958

29 March 1988 A Knowledge Based Expert-System For Synthetic Aperture Radar Target Recognition

Steven K. Rogers, Matthew Kabrisky, Steven Anderson, James P. Mills

Proceedings Volume 0937, Applications of Artificial Intelligence VI; (1988) https://doi.org/10.1117/12.946958
Event: 1988 Technical Symposium on Optics, Electro-Optics, and Sensors, 1988, Orlando, FL, United States

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.

Citation Download Citation

Steven K. Rogers, Matthew Kabrisky, Steven Anderson, and James P. Mills "A Knowledge Based Expert-System For Synthetic Aperture Radar Target Recognition", Proc. SPIE 0937, Applications of Artificial Intelligence VI, (29 March 1988); https://doi.org/10.1117/12.946958

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