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Non-Destructive Assessment of Stone Heritage Weathering Types Based on Machine Learning Method Using Hyperspectral Data.

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Bibliographic Details
Title: Non-Destructive Assessment of Stone Heritage Weathering Types Based on Machine Learning Method Using Hyperspectral Data.
Authors: Wang, Xin, Cheng, Yuan, Zhang, Ruoyu, Zhang, Yue, Huang, Jizhong, Yan, Hongbin
Source: International Archives of the Photogrammetry, Remote Sensing & Spatial Information Sciences; 2024, Vol. 48 Issue 1, p713-719, 7p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 177679089
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Non-Destructive Assessment of Stone Heritage Weathering Types Based on Machine Learning Method Using Hyperspectral Data.
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=177679089
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      – Type: doi
        Value: 10.5194/isprs-archives-XLVIII-1-2024-713-2024
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      – Code: eng
        Text: English
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      – TitleFull: Non-Destructive Assessment of Stone Heritage Weathering Types Based on Machine Learning Method Using Hyperspectral Data.
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            NameFull: Cheng, Yuan
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            NameFull: Zhang, Ruoyu
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              Text: 2024
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              Y: 2024
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