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Infrared radiometric image classification and segmentation of cloud structures using a deep-learning framework from ground-based infrared thermal camera observations.

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Title: Infrared radiometric image classification and segmentation of cloud structures using a deep-learning framework from ground-based infrared thermal camera observations.
Authors: Sommer, Kélian1 (AUTHOR) kelian.sommer@umontpellier.fr, Kabalan, Wassim2 (AUTHOR) wassim@apc.in2p3.fr, Brunet, Romain3 (AUTHOR) romain.brunet@lam.fr
Source: Atmospheric Measurement Techniques. 2025, Vol. 18 Issue 9, p2083-2101. 19p.
Database: Academic Search Ultimate
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  Data: <searchLink fieldCode="JN" term="%22Atmospheric+Measurement+Techniques%22">Atmospheric Measurement Techniques</searchLink>. 2025, Vol. 18 Issue 9, p2083-2101. 19p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=asn&AN=185603055
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.5194/amt-18-2083-2025
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      – Code: eng
        Text: English
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        PageCount: 19
        StartPage: 2083
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      – TitleFull: Infrared radiometric image classification and segmentation of cloud structures using a deep-learning framework from ground-based infrared thermal camera observations.
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            NameFull: Sommer, Kélian
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            NameFull: Kabalan, Wassim
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              Text: 2025
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              Value: 18
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              Value: 9
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