Infrared radiation measurement of the aerial target based on temperature calibration and target images

Abstract

The gray level values of target pixels of infrared images processed by the SUSAN noise filtering algorithm and the background filtering algorithm are calculated, assuming that the target distance is given in image acquisition. The equivalent blackbody temperature is obtained by the temperature calibration model that represents the quantitative relation, at a certain integration time, between the gray level value and the equivalent blackbody temperature. The temperature calibration model has been acquired by the curve fitting with the experimental data of blackbody temperature calibration using Origin 6.0. Then the target radiance can be determined by the radiant flux equivalence model built on condition that the target radiant flux received by the infrared detector is equivalent to that of the blackbody placed in front of the infrared detector at a close distance. This measuring method is based on the temperature calibration parameters and real image information, so it can avoid subjectivity of the traditional theory modeling methods.

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