Method of predicting the probability of human observers recognizing targets in simulated thermal images

Alison M. Fairhurst; Alan H. Lettington

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Method of predicting the probability of human observers recognizing targets in simulated thermal images

机译：Method of predicting the probability of human observers recognizing targets in simulated thermal images

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A series of psychophysical trials is conducted to study the human perception of images of various shapes that are degraded by various combinations of Gaussian blurring, sampling, and fixed pattern noise. These images were created using computer programs designed to simulate the types of image degradation associated with thermal imagers that employ focal plane arrays (FPAs) of detectors. A total of 46 observers participated in these trials, during which over 130,000 observations were recorded. The responses collected during the trials are used to develop an empirical model of human vision applicable to 2-D images having a gray scale, but not including other colors. This model can be used to predict the probability of a human observer correctly distinguishing between images of two different objects. # 1998 Society of Photo-Optical Instrumentation Engineers. S0091-3286 (98) 00303-1 Subject terms; infrared; perception; performance measure; recognition; remote sensing; thermal imaging. Paper ART-107 received May 27, 1997; revised manuscript received July 31, 1997; accepted for publication Aug. 10, 1997.

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《Optical Engineering》 |1998年第3期|744-751|共8页
作者
Alison M. Fairhurst; Alan H. Lettington;
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University of Reading J. J. Thomson Physical Laboratory/P.O. Box 220 Whiteknights, Reading RG6 6AF United Kingdom E-mail: a.h.lettington @ reading.ac.uk;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
中图分类光学仪器;
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Method of predicting the probability of human observers recognizing targets in simulated thermal images

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