Innovation Series: Advanced Science (ISSN 2938-9933, CNKI Indexed)

Radiometric Calibration Research for Infrared Spectral Imaging Remote Sensing Systems

Ganyu Wang¹, Xiaobin Dai^2,*, Ming Nie¹

¹ Electric Power Research Institute of Guangdong Power Grid Co., Ltd. Guangzhou 510080, China

² Institute of Aerospace Science and Technology, Wuhan University, Wuhan 430072, China

Corresponding Author: Xiaobin Dai (xiaobing@whu.edu.cn)

Abstract: Data accuracy is a fundamental characteristic of remote sensing detection systems. Radiometric calibration is a critical step in the quantitative analysis of remote sensing data, essentially aiming to precisely determine the quantitative relationship between system measurements and corresponding physical quantities. By analyzing the system's radiative transfer and conversion models, and employing algorithms such as the two-point method, piecewise linear method, and least squares method in conjunction with blackbody radiation experimental data, the calibration of infrared spectral image-associated remote sensing detection systems can be achieved. The research results indicate that the piecewise linear method yields smaller errors compared to the two-point method, while the least squares method based on a power function provides the optimal results. Furthermore, experimental results demonstrate that atmospheric absorption has a significant impact on the accuracy of full-band radiometric calibration for spectral image-associated systems.

Keywords: Spectral correlation; Radiometric calibration; Fourier Transform Infrared Spectroscopy (FTIR); Blackbody radiation; Remote sensing detection

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