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Radio‐Frequency Interference Identification and Correction for Microwave Radiation Imager on FY‐3G Using a Deep Neural Network Model.

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Title: Radio‐Frequency Interference Identification and Correction for Microwave Radiation Imager on FY‐3G Using a Deep Neural Network Model.
Authors: Wenyan, Xiao1,2,3,4 (AUTHOR), Xiang, Fang2,3,4 (AUTHOR) fangxiang@cma.gov.cn, Jun, Yang5,6 (AUTHOR) yangjun@cma.gov.cn
Source: Atmospheric Science Letters (John Wiley & Sons, Inc. ). Apr2026, Vol. 27 Issue 4, p1-10. 10p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Science+Letters+%28John+Wiley+%26+Sons%2C+Inc%2E+%29%22">Atmospheric Science Letters (John Wiley & Sons, Inc. )</searchLink>. Apr2026, Vol. 27 Issue 4, p1-10. 10p.
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      – Type: doi
        Value: 10.1002/asl2.70018
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      – Code: eng
        Text: English
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        PageCount: 10
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      – TitleFull: Radio‐Frequency Interference Identification and Correction for Microwave Radiation Imager on FY‐3G Using a Deep Neural Network Model.
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            NameFull: Wenyan, Xiao
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            NameFull: Xiang, Fang
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              Text: Apr2026
              Type: published
              Y: 2026
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              Value: 27
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            – TitleFull: Atmospheric Science Letters (John Wiley & Sons, Inc. )
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