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Proceedings Paper

Atomatic target recognition (ATR) evaluation theory: a survey
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Paper Abstract

Proper evaluation of a pattern recognition system in the lab is paramount to its success in the field. In most commercial pattern recognition applications, such as breast cancer detection, optical character recognition, and industrial quality assurance, the boundaries and expectation of the system are well defined. This is due, at least in part, to an excellent understanding of the problem and data space for these applications. For these functions, a method for rigorous evaluation is well understood. However, the size and complexity of the data and problem spaces for automatic target recognition (ATR) systems is enormous. The consequences are that a complete understanding of how an ATR system will perform in practice is extraordinarily difficult to estimate. Thus the act of evaluating an ATR system becomes as important as its design. This paper compiles and reports the techniques used to evaluate ATR system performance. It surveys the specific difficulties associated with ATR performance estimation as well as approaches used to mitigate these obstacles.

Paper Details

Date Published: 24 August 2000
PDF: 11 pages
Proc. SPIE 4053, Algorithms for Synthetic Aperture Radar Imagery VII, (24 August 2000); doi: 10.1117/12.396378
Show Author Affiliations
William E. Pierson Jr., Air Force Research Lab. (United States)
Timothy D. Ross, Air Force Research Lab. (United States)

Published in SPIE Proceedings Vol. 4053:
Algorithms for Synthetic Aperture Radar Imagery VII
Edmund G. Zelnio, Editor(s)

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