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

被引：13

作者：

Fairhurst, AM ^{[1
]}

Lettington, AH ^{[1
]}

机构：

[1] Univ Reading, JJ Thomson Phys Lab, Reading RG6 6AF, Berks, England

来源：

OPTICAL ENGINEERING | 1998年 / 37卷 / 03期

关键词：

infrared; perception; performance measure; recognition; remote sensing; thermal imaging;

D O I：

10.1117/1.601906

中图分类号：

O43 [光学];

学科分类号：

070207 ; 0803 ;

摘要：

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. (C) 1998 Society of Photo-Optical instrumentation Engineers. [S0091-3286(98)00303-1].

引用

页码：744 / 751

页数：8

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