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Lightweight U-Net based on depthwise separable convolution for cloud detection onboard nanosatellite.

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Title: Lightweight U-Net based on depthwise separable convolution for cloud detection onboard nanosatellite.
Authors: Khalil, Imane1,2,3, imanekhalil@research.emi.ac.ma, Chanoui, Mohammed Alae2,3,4, Ismaili, Zine El Abidine Alaoui3,5, Guennoun, Zouhair1,2,3, Addaim, Adnane1,2,3, Sbihi, Mohammed2,3,4
Source: Journal of Supercomputing; Dec2024, Vol. 80 Issue 18, p26308-26332, 25p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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  Data: Lightweight U-Net based on depthwise separable convolution for cloud detection onboard nanosatellite.
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  Data: <searchLink fieldCode="JN" term="%22Journal+of+Supercomputing%22">Journal of Supercomputing</searchLink>; Dec2024, Vol. 80 Issue 18, p26308-26332, 25p
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RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s11227-024-06452-8
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      – Code: eng
        Text: English
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        PageCount: 25
        StartPage: 26308
    Titles:
      – TitleFull: Lightweight U-Net based on depthwise separable convolution for cloud detection onboard nanosatellite.
        Type: main
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            NameFull: Khalil, Imane
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            NameFull: Chanoui, Mohammed Alae
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            NameFull: Ismaili, Zine El Abidine Alaoui
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            NameFull: Guennoun, Zouhair
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            NameFull: Addaim, Adnane
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            NameFull: Sbihi, Mohammed
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          Dates:
            – D: 01
              M: 12
              Text: Dec2024
              Type: published
              Y: 2024
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              Value: 09208542
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              Value: 80
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            – TitleFull: Journal of Supercomputing
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