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Tingzhu Bai, Long Shao, Heng He, Peishan Song. Estimation of Thermal Imaging System Operating Range Based on Background Radiation[J]. JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(2): 241-249. doi: 10.15918/j.jbit1004-0579.201827.0212
Citation: Tingzhu Bai, Long Shao, Heng He, Peishan Song. Estimation of Thermal Imaging System Operating Range Based on Background Radiation[J].JOURNAL OF BEIJING INSTITUTE OF TECHNOLOGY, 2018, 27(2): 241-249.doi:10.15918/j.jbit1004-0579.201827.0212

Estimation of Thermal Imaging System Operating Range Based on Background Radiation

doi:10.15918/j.jbit1004-0579.201827.0212
  • Received Date:2017-03-29
  • Traditional operating range prediction methods assume that the atmospheric radiances in a target path and a background path are equal. But they are different in a real-world environment. To solve this problem, the influence of atmospheric radiance on operating range prediction is analyzed in this paper. Range estimation model in thermal imaging based on background radiation (REBR) is proposed. Infrared image radiometric calibration is used to calculate the background radiation of a system entrance pupil. The result shows that,compared with traditional operating range prediction methods, the REBR method is more suitable for the actual atmospheric transmission process and the physical process of infrared imaging.
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