Research on verification of infrared scene simulation model based on remote sensing data

Juan Lin; Haotong Li; Chao Zhao; Kaifeng Wu; Xingrun Liu; Jing Ma; Xijuan Zhu

doi:10.1117/12.2662927

12 April 2023 Research on verification of infrared scene simulation model based on remote sensing data

Juan Lin, Haotong Li, Chao Zhao, Kaifeng Wu, Xingrun Liu, Jing Ma, Xijuan Zhu

Proceedings Volume 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022); 125652X (2023) https://doi.org/10.1117/12.2662927
Event: Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 2022, Shanghai, China

Abstract

In this paper, the visible and infrared measurement data of different ground scenes are used as the modeling basis to build infrared scene models for typical ground scenes. The infrared spectrum data of GF-5 satellite were used to verify the simulation data of the ground scene that under the same detection conditions. Based on the acquisition of satellite infrared channel calibration data and spectral response curve, the infrared radiation of the interested background is obtained. The solar radiation value and atmospheric transmission (transmittance radiation) under the corresponding detection conditions are calculated. Based on the remote sensing test results, the error statistics of the calculation results of the ground object background infrared model are carried out. The results show that the maximum statistical error between the theoretical calculation results and the remote sensing test results is 29.0%, and the average absolute error of the six bands is 15.2%. From the comparison accuracy of remote sensing test data, the simulation results of the ground scenes simulation model are reasonable and the model has high reliability.

Citation Download Citation

Juan Lin, Haotong Li, Chao Zhao, Kaifeng Wu, Xingrun Liu, Jing Ma, and Xijuan Zhu "Research on verification of infrared scene simulation model based on remote sensing data", Proc. SPIE 12565, Conference on Infrared, Millimeter, Terahertz Waves and Applications (IMT2022), 125652X (12 April 2023); https://doi.org/10.1117/12.2662927

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KEYWORDS

Infrared radiation

Data modeling

Satellites

Remote sensing

Solar radiation

Infrared sensors

Calibration

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