An Interpretable Nonlinear Intelligent Bias Correction Method for FY-4A/GIIRS Hyperspectral Infrared Brightness Temperatures
- DOI
- 10.3390/rs18050748
- Published
- 2026-03-01
- Container
- Remote Sensing
- Publisher
- MDPI AG
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.3390/rs18050748,
title = {An Interpretable Nonlinear Intelligent Bias Correction Method for FY-4A/GIIRS Hyperspectral Infrared Brightness Temperatures},
author = {Gen Wang and Bing Xu and Song Ye and Xiefei Zhi and Tiening Zhang and Youpeng Yang and Yang Liu and Feng Xie and Qiao Liu and Haili Zhang},
year = {2026},
journal = {Remote Sensing},
doi = {10.3390/rs18050748},
url = {https://doi.org/10.3390/rs18050748}
}RIS
TY - JOUR TI - An Interpretable Nonlinear Intelligent Bias Correction Method for FY-4A/GIIRS Hyperspectral Infrared Brightness Temperatures AU - Gen Wang AU - Bing Xu AU - Song Ye AU - Xiefei Zhi AU - Tiening Zhang AU - Youpeng Yang AU - Yang Liu AU - Feng Xie AU - Qiao Liu AU - Haili Zhang PY - 2026 JO - Remote Sensing DO - 10.3390/rs18050748 UR - https://doi.org/10.3390/rs18050748 ER -
APA
Wang, G., Xu, B., Ye, S., Zhi, X., Zhang, T., Yang, Y., Liu, Y., Xie, F., Liu, Q., & Zhang, H. (2026). An Interpretable Nonlinear Intelligent Bias Correction Method for FY-4A/GIIRS Hyperspectral Infrared Brightness Temperatures. Remote Sensing. https://doi.org/10.3390/rs18050748
Source records
- crossref · retrieved 2026-09-26T11:18:55.428Z