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Proceedings Paper

A unified approach for database analysis and application to ATR performance metrics
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Paper Abstract

An essential component within most approaches used to evaluate ATR algorithm performance is an image database from which are chosen a training set of images. Several fundamental questions arise regarding the adequacy of the database to represent the desired domain of effectiveness, the sufficiency of the training set, potentiality of enhancing the constituents of the training set, suitability to determine signal-to-clutter performance, and realism of fairly comparing performance of ATR algorithms to one another. These questions have been addressed through an investigation into a unified approach for database analysis and how it can be applied to evaluating ATR performance metrics.

Paper Details

Date Published: 12 May 2010
PDF: 20 pages
Proc. SPIE 7696, Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI, 76960Z (12 May 2010); doi: 10.1117/12.849942
Show Author Affiliations
R. Barry Johnson, Alabama A&M Univ. (United States)
Kaveh Heidary, Alabama A&M Univ. (United States)


Published in SPIE Proceedings Vol. 7696:
Automatic Target Recognition XX; Acquisition, Tracking, Pointing, and Laser Systems Technologies XXIV; and Optical Pattern Recognition XXI
Firooz A. Sadjadi; David P. Casasent; Steven L. Chodos; Abhijit Mahalanobis; William E. Thompson; Tien-Hsin Chao, Editor(s)

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