14 June 1984 A Context Dependent Automatic Target Recognition System
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Proceedings Volume 0485, Applications of Artificial Intelligence I; (1984); doi: 10.1117/12.943159
Event: 1984 Technical Symposium East, 1984, Arlington, United States
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.
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J. H. Kim, D. W. Payton, K. E. Olin, D. Y. Tseng, "A Context Dependent Automatic Target Recognition System", Proc. SPIE 0485, Applications of Artificial Intelligence I, (14 June 1984); doi: 10.1117/12.943159; https://doi.org/10.1117/12.943159
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KEYWORDS
Data modeling

Roads

Automatic target recognition

Image segmentation

Image processing

Artificial intelligence

Classification systems

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