PROCEEDINGS ARTICLE | February 22, 2008
Proc. SPIE. 6622, International Symposium on Photoelectronic Detection and Imaging 2007: Laser, Ultraviolet, and Terahertz Technology
KEYWORDS: Target detection, Thermography, Digital image processing, Imaging systems, Spectral resolution, Target recognition, Electro optical systems, Electro optics, Electro optical imaging, Correlation function
Methods for quantitatively evaluating smokescreen jamming effect on electro-optical imaging systems are investigated.
Smokescreen jamming could degrade the target discrimination ability of imaging systems. Based on the theory of digital
image processing and the Johnson criterion for target detection and discrimination, which describes the quantitative
relationship between the resolving power and target discrimination ability of imaging systems, four rules for
quantitatively evaluating smokescreen jamming effect on imaging systems are proposed as the
target-discrimination-grade rule, target-discrimination-probability rule, target-discrimination-range rule and correlativity
rule. For the target-discrimination-grade rule, the smokescreen jamming effect is evaluated according to the change of
target discrimination grade of the imaging system after being jammed. For the target-discrimination-probability rule, the
jamming effect is evaluated according to the ratio of the discrimination probabilities of the imaging system before and
after being jammed. For the target-discrimination-range rule, the jamming effect is evaluated according to the ratio of the
discrimination ranges before and after being jammed, or the decline rate of discrimination range of the imaging system
after being jammed. For the correlativity rule, the jamming effect is evaluated and graded as three jamming levels
according to the correlativity between the images of the imaging system before and after being jammed, which could be
expressed with the mean absolute difference or correlation function between the images before and after being jammed.
Compared with the existing evaluation methods for the jamming effect on electro-optical imaging systems, the
evaluation rules given here are featured as more quantitative, objective and readily applicable.
