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International Journal of Digital Earth Volume 15, 2022 - Issue 1
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A high-precision image classification network model based on a voting mechanism

Jianghong Zhaoa School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, People’s Republic of China;b Key Laboratory for Urban Spatial Information of the Ministry of Natural Resources, Beijing, People’s Republic of China;c Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing, People’s Republic of ChinaORCID Iconhttps://orcid.org/0000-0002-2712-9141View further author information
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Xin Wanga School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, People’s Republic of China;c Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing, People’s Republic of ChinaView further author information
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Xintong Doua School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, People’s Republic of China;c Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing, People’s Republic of ChinaCorrespondence[email protected]
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Yingxue Zhaod Guangzhou Panyu Polytechnic, Guangzhou, People’s Republic of ChinaView further author information
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Zexin Fua School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, People’s Republic of ChinaView further author information
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Ming Guoa School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, People’s Republic of China;c Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing, People’s Republic of ChinaView further author information
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Ruiju Zhanga School of Geomatics and Urban Spatial Informatics, Beijing University of Civil Engineering and Architecture, Beijing, People’s Republic of China;c Beijing Key Laboratory for Architectural Heritage Fine Reconstruction & Health Monitoring, Beijing, People’s Republic of ChinaView further author information
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Pages 2168-2183 | Received 28 Jul 2022, Accepted 24 Oct 2022, Published online: 29 Nov 2022

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