EVALUATION OF FORWARD-LOOKING INFRARED-SENSORS FOR AUTOMATIC TARGET RECOGNITION USING AN INFORMATION-THEORETIC APPROACH

被引：3

作者：

CLARK, LG ^{[1
]}

PERLOVSKY, LI ^{[1
]}

SCHOENDORF, WH ^{[1
]}

PLUM, CP ^{[1
]}

KELLER, TL ^{[1
]}

机构：

[1] NICHOLS RES CORP,WAKEFIELD,MA 01880

来源：

OPTICAL ENGINEERING | 1992年 / 31卷 / 12期

关键词：

AUTOMATIC TARGET RECOGNITION; SENSORS; FORWARD-LOOKING INFRARED (FLIR); INFORMATION THEORY; IMAGE METRICS; ENTROPY;

D O I：

10.1117/12.60009

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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.

引用

页码：2618 / 2627

页数：10