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Proceedings Paper

Characterization of ATR systems
Author(s): Edmund G. Zelnio; Frederick D. Garber; Lori A. Westerkamp; Steven W. Worrell; John J. Westerkamp; Mary Jarratt; Catherine E. Deardorf; Patricia A. Ryan
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Paper Abstract

This paper defines the ATR problem outside the boundaries of the statistical pattern recognition (SPR) problem. It is believed that the state of the art supports successful application of SPR strategies to solve recognition problems and to the extent that the automatic target recognition (ATR) problem and the SPR problem are the same, the ATR problem is quite solvable. However, ATR remains problematic is its full realization and promise and has only been solved under a set of constrained conditions - those which map into the SPR problem. These are problems where the conditions of the training set are totally representative of the conditions under the test set. The purpose of this paper is to facilitate further progress in ATR development by defining the ATR problem in a more general way that is believed to be more representative of the actual ATR problem facing various ATR users rather than the more restricted SPR definition.

Paper Details

Date Published: 28 July 1997
PDF: 12 pages
Proc. SPIE 3070, Algorithms for Synthetic Aperture Radar Imagery IV, (28 July 1997); doi: 10.1117/12.281560
Show Author Affiliations
Edmund G. Zelnio, Air Force Wright Lab. (United States)
Frederick D. Garber, Wright State Univ. (United States)
Lori A. Westerkamp, Air Force Wright Lab. (United States)
Steven W. Worrell, Veda Inc. (United States)
John J. Westerkamp, Univ. of Dayton (United States)
Mary Jarratt, Air Force Wright Lab. (United States)
Catherine E. Deardorf, Air Force Wright Lab. (United States)
Patricia A. Ryan, Air Force Wright Lab. (United States)


Published in SPIE Proceedings Vol. 3070:
Algorithms for Synthetic Aperture Radar Imagery IV
Edmund G. Zelnio, Editor(s)

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