Temperature-Field Driven Adaptive Radiometric Calibration for Scan Mirror Thermal Radiation Interference in FY-4B GIIRS
To meet the growing demand for quantitative remote sensing applications in GIIRS radiometric calibration, this paper proposes a temperature field-driven adaptive scan mirror thermal radiation interference correction method. Based on the on-orbit deep space observation data from the Fengyun-4B satellite, this paper systematically analyzes the thermal radiation interference characteristics caused by scan mirror deflection and constructs the first scan mirror thermal radiation response model suitable for GIIRS. On the basis of this model, this paper further introduces the dynamic variation characteristics of the internal thermal environment of the instrument, enabling adaptive response and compensation for radiation disturbances. This method overcomes the limitations of relying on static calibration parameters and improves the generality and robustness of the model. Independent validation results show that this method effectively suppresses the interference of scan mirror deflection on instrument background radiation and enhances the consistency of the deep space and blackbody spectral diurnal variation time series. After correction, the average system bias of the interference-sensitive channel decreased by 94%, and the standard deviation of radiance bias from 2.5 mW/m2·sr·cm−1 to below 0.5 mW/m2·sr·cm−1. In the O-B test, the maximum improvement in relative standard deviation reached 0.15 K.
Authors
- Liang Xiao (ORCID: https://orcid.org/0000-0003-0178-9384)
- Yuanshu Zhang
- Changpei Han (ORCID: https://orcid.org/0000-0001-9162-7367)
- Pengyu Huang (ORCID: https://orcid.org/0000-0001-8394-7280)
- Libing Li
- Yuhang Zou (ORCID: https://orcid.org/0009-0004-8181-4838)
Institutions
- Chinese Academy of Sciences (CN)
- Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) (CN)
- Shanghai Institute of Technical Physics (CN)
- University of Chinese Academy of Sciences (CN)
Publication Details
- Journal
- Remote Sensing
- Published
- 2025-12-06
- DOI
- https://doi.org/10.3390/rs17243948
- Primary Topic
- Calibration and Measurement Techniques
- Type
- article
- Field-Weighted Citation Impact
- 0.00
Funders
- Strong
- Chinese Academy of Sciences
- Youth Innovation Promotion Association of the Chinese Academy of Sciences
- Youth Innovation Promotion Association