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Cross-Scale U-Net: A Deep Transfer Learning Framework for Automated High-Resolution Urban Land Cover Mapping †.

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Title: Cross-Scale U-Net: A Deep Transfer Learning Framework for Automated High-Resolution Urban Land Cover Mapping †.
Authors: Wang, Zhe1, Fan, Chao2, Sun, Shoukun3, Liao, Haifeng4, hliao@uidaho.edu, Xian, Min3,5, Ma, Xiaogang3, Que, Xiang5
Source: Buildings (2075-5309); Jun2026, Vol. 16 Issue 12, p2441, 18p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194916121
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  Data: Cross-Scale U-Net: A Deep Transfer Learning Framework for Automated High-Resolution Urban Land Cover Mapping †.
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  Data: <searchLink fieldCode="JN" term="%22Buildings+%282075-5309%29%22">Buildings (2075-5309)</searchLink>; Jun2026, Vol. 16 Issue 12, p2441, 18p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194916121
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        Value: 10.3390/buildings16122441
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        Text: English
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      – TitleFull: Cross-Scale U-Net: A Deep Transfer Learning Framework for Automated High-Resolution Urban Land Cover Mapping †.
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              Text: Jun2026
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              Y: 2026
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