Evaluation of FLIR sensors for automatic target recognition using an information-theoretic approach

Lloyd G. Clark; Leonid I. Perlovsky; William H. Schoendorf; Charles P. Plum; Terry L. Keller

doi:10.1117/12.138285

16 September 1992 Evaluation of FLIR sensors for automatic target recognition using an information-theoretic approach

Lloyd G. Clark, Leonid I. Perlovsky, William H. Schoendorf, Charles P. Plum, Terry L. Keller

Proceedings Volume 1700, Automatic Object Recognition II; (1992) https://doi.org/10.1117/12.138285
Event: Aerospace Sensing, 1992, Orlando, FL, United States

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.

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Lloyd G. Clark, Leonid I. Perlovsky, William H. Schoendorf, Charles P. Plum, and Terry L. Keller "Evaluation of FLIR sensors for automatic target recognition using an information-theoretic approach", Proc. SPIE 1700, Automatic Object Recognition II, (16 September 1992); https://doi.org/10.1117/12.138285

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KEYWORDS

Sensors

Information technology

Target detection

Image sensors

Sensor performance

Automatic target recognition

Detection and tracking algorithms

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