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Weakly supervised deep learning for fine-grained socioeconomic development index inference based on satellite imagery.

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Title: Weakly supervised deep learning for fine-grained socioeconomic development index inference based on satellite imagery.
Authors: Bai, Yanbing1, ybbai@ruc.edu.cn, Zhang, Bolin2, bolin.zhang99@gmail.com, Zhang, Ziyue3, 2022103700@ruc.edu.cn, Zeng, Shubo3, 2018201726@ruc.edu.cn, Liu, Zhe3, 2022103691@ruc.edu.cn, Mao, Xuxin4, xuxin.mao@uk.bankofchina.com
Source: GeoInformatica; Oct2025, Vol. 29 Issue 4, p927-950, 24p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
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  Data: Weakly supervised deep learning for fine-grained socioeconomic development index inference based on satellite imagery.
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  Data: <searchLink fieldCode="AU" term="%22Bai%2C+Yanbing%22">Bai, Yanbing</searchLink><relatesTo>1</relatesTo>, <i>ybbai@ruc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Bolin%22">Zhang, Bolin</searchLink><relatesTo>2</relatesTo>, <i>bolin.zhang99@gmail.com</i><br /><searchLink fieldCode="AU" term="%22Zhang%2C+Ziyue%22">Zhang, Ziyue</searchLink><relatesTo>3</relatesTo>, <i>2022103700@ruc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Zeng%2C+Shubo%22">Zeng, Shubo</searchLink><relatesTo>3</relatesTo>, <i>2018201726@ruc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Zhe%22">Liu, Zhe</searchLink><relatesTo>3</relatesTo>, <i>2022103691@ruc.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Mao%2C+Xuxin%22">Mao, Xuxin</searchLink><relatesTo>4</relatesTo>, <i>xuxin.mao@uk.bankofchina.com</i>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=188313436
RecordInfo BibRecord:
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      – Type: doi
        Value: 10.1007/s10707-025-00551-1
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      – Code: eng
        Text: English
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      – TitleFull: Weakly supervised deep learning for fine-grained socioeconomic development index inference based on satellite imagery.
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            NameFull: Bai, Yanbing
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            NameFull: Zhang, Bolin
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            – D: 01
              M: 10
              Text: Oct2025
              Type: published
              Y: 2025
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