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Proceedings Paper

Evaluation of FLIR sensors for automatic target recognition using an information-theoretic approach
Author(s): Lloyd G. Clark; Leonid I. Perlovsky; William H. Schoendorf; Charles P. Plum; Terry L. Keller
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Paper Abstract

This paper describes the development of an information-theoretic image measure for sensor evaluation under the contract to the United States Air Force. While current approaches are based on human perception models, a need exists for evaluation of sensors for ATC/ATR systems. Such an evaluation should be performed in terms of the probabilities of detection/identification and false alarms independent of the idiosyncrasies of the specific ATC/ATR algorithms. Such an approach based on the information-theoretic content of images for the target vs. background separability is being developed and applied to evaluating sensors using the Tower Test data collected at the Wright Laboratories.

Paper Details

Date Published: 16 September 1992
PDF: 12 pages
Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); doi: 10.1117/12.138285
Show Author Affiliations
Lloyd G. Clark, Air Force Wright Lab. (United States)
Leonid I. Perlovsky, Nichols Research Corp. (United States)
William H. Schoendorf, Nichols Research Corp. (United States)
Charles P. Plum, Nichols Research Corp. (United States)
Terry L. Keller, Nichols Research Corp. (United States)


Published in SPIE Proceedings Vol. 1700:
Automatic Object Recognition II
Firooz A. Sadjadi, Editor(s)

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