29 March 1988 A Knowledge Based Expert-System For Synthetic Aperture Radar Target Recognition
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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.
© (1988) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
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); doi: 10.1117/12.946958; https://doi.org/10.1117/12.946958
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