Paper
4 December 1984 Artificial Intelligence In Automatic Target Recognizers: Technology And Timelines
John F. Gilmore
Author Affiliations +
Abstract
The recognition of targets in thermal imagery has been a problem exhaustively analyzed in its current localized dimension. This paper discusses the application of artificial intelligence (AI) technology to automatic target recognition, a concept capable of expanding current ATR efforts into a new globalized dimension. Deficiencies of current automatic target recognition systems are reviewed in terms of system shortcomings. Areas of artificial intelligence which show the most promise in improving ATR performance are analyzed, and a timeline is formed in light of how near (as well as far) term artificial intelligence applications may exist. Current research in the area of high level expert vision systems is reviewed and the possible utilization of artificial intelligence architectures to improve low level image processing functions is also discussed. Additional application areas of relevance to solving the problem of automatic target recognition utilizing both high and low level processing are also explored.
© (1984) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
John F. Gilmore "Artificial Intelligence In Automatic Target Recognizers: Technology And Timelines", Proc. SPIE 0504, Applications of Digital Image Processing VII, (4 December 1984); https://doi.org/10.1117/12.944843
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Cited by 1 scholarly publication.
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KEYWORDS
Automatic target recognition

Artificial intelligence

Target recognition

Algorithm development

Evolutionary algorithms

Detection and tracking algorithms

Image segmentation

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