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Proceedings Paper

A Context Dependent Automatic Target Recognition System
Author(s): J. H. Kim; D. W. Payton; K. E. Olin; D. Y. Tseng
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Paper Abstract

This paper describes a new approach to automatic target recognizer (ATR) development utilizing artificial intelligent techniques. The ATR system exploits contextual information in its detection and classification processes to provide a high degree of robustness and adaptability. In the system, knowledge about domain objects and their contextual relationships is encoded in frames, separating it from low level image processing algorithms. This knowledge-based system demonstrates an improvement over the conventional statistical approach through the exploitation of diverse forms of knowledge in its decision-making process.

Paper Details

Date Published: 14 June 1984
PDF: 6 pages
Proc. SPIE 0485, Applications of Artificial Intelligence I, (14 June 1984); doi: 10.1117/12.943159
Show Author Affiliations
J. H. Kim, Hughes Aircraft Company (United States)
D. W. Payton, Hughes Aircraft Company (United States)
K. E. Olin, Hughes Aircraft Company (United States)
D. Y. Tseng, Hughes Aircraft Company (United States)


Published in SPIE Proceedings Vol. 0485:
Applications of Artificial Intelligence I
John F. Gilmore, Editor(s)

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