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Optical Engineering

Evaluation of forward-looking infrared 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

The development of an information-theoretic image measure for sensor evaluation, under contract to the United States Air Force, is described. Although current approaches are based on human perception models, a need exists for evaluation of sensors for automatic target cuing/automatic target recognition (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 versus background separability is being developed and applied to evaluating sensors using the tower test data collected at the Wright Laboratories.

Paper Details

Date Published: 1 December 1992
PDF: 10 pages
Opt. Eng. 31(12) doi: 10.1117/12.60009
Published in: Optical Engineering Volume 31, Issue 12
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)

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