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    Superresolution of GOES-16 ABI Bands to a Common High Resolution with a Convolutional Neural Network

    Source: Artificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 002
    Author:
    White, Charles H.
    ,
    Ebert-Uphoff, Imme
    ,
    Haynes, John M.
    ,
    Noh, Yoo-Jeong
    DOI: 10.1175/AIES-D-23-0065.1
    Publisher: American Meteorological Society
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      Superresolution of GOES-16 ABI Bands to a Common High Resolution with a Convolutional Neural Network

    URI
    http://yetl.yabesh.ir/yetl1/handle/yetl/4299446
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    • Artificial Intelligence for the Earth Systems

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    contributor authorWhite, Charles H.
    contributor authorEbert-Uphoff, Imme
    contributor authorHaynes, John M.
    contributor authorNoh, Yoo-Jeong
    date accessioned2024-12-24T13:41:44Z
    date available2024-12-24T13:41:44Z
    date copyright01 Apr. 2024
    date issued2024
    identifier otheraies-AIES-D-23-0065.1.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4299446
    languageEnglish
    publisherAmerican Meteorological Society
    titleSuperresolution of GOES-16 ABI Bands to a Common High Resolution with a Convolutional Neural Network
    typeJournal Paper
    journal volume3
    journal issue2
    journal titleArtificial Intelligence for the Earth Systems
    identifier doi10.1175/AIES-D-23-0065.1
    journal lastpagee230065
    treeArtificial Intelligence for the Earth Systems:;2024:;volume( 003 ):;issue: 002
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian