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Proceedings Paper

Improved automatic target recognition (ATR) value through enhancements and accommodations
Author(s): Timothy D. Ross; Lloyd C. Goodwon
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Paper Abstract

There is a strong and growing need for automatic target recognition (ATR) technologies. Those technologies have made great strides; however, there is a general sense that they are not having the full impact desired. This paper develops a value-based framework for considering how ATR technology can be made more relevant and then introduces and expands on two elements within that framework: 'enhancements' and 'accommodations'. Value is used here as the degree to which a technology's benefits exceed the technology's costs. Value may be improved by increasing benefits or decreasing costs; but it may be as important that the uncertainty about benefits and costs be reduced. Enhancements and accommodations are distinguished here from the 'core ATR'. While it is generally appreciated that improved core ATR performance could improve value, enhancements and accommodations might be overlooked by those focused on ATRs. Enhancements are ways of making the overall system, inclusive of a core ATR, more capable. Accommodations are ways of making the problem easier for the core ATR. An example enhancement is technology to fuse the output of the core ATR with other sources. An example accommodation is for the user to agree to limit the target set to large, and therefore more easily recognized, objects. This paper encourages the consideration of this framework and outlines a number of candidates for enhancements and accommodations for synthetic aperture radar (SAR) ATR, including humans-in-the-loop, change detection, fusion, modeling confusers, group detection, adaptive algorithms, class make-up, and scene-based decisions.

Paper Details

Date Published: 17 May 2006
PDF: 12 pages
Proc. SPIE 6237, Algorithms for Synthetic Aperture Radar Imagery XIII, 62370T (17 May 2006); doi: 10.1117/12.674026
Show Author Affiliations
Timothy D. Ross, Air Force Research Lab. (United States)
Lloyd C. Goodwon, Air Force Research Lab. (United States)


Published in SPIE Proceedings Vol. 6237:
Algorithms for Synthetic Aperture Radar Imagery XIII
Edmund G. Zelnio; Frederick D. Garber, Editor(s)

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