Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images

Xinghua Lia School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information

Linglin Xieb The Key Laboratory of Natural Resources Monitoring and Supervision in Southern Hilly Region, Ministry of Natural Resources, Changsha, ChinaCorrespondence[email protected]
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Caifeng Wanga School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information

Jianhao Miaoa School of Remote Sensing and Information Engineering, Wuhan University, Wuhan, ChinaView further author information

Huanfeng Shenc School of Resource and Environmental Sciences, Wuhan University, Wuhan, China;d Collaborative Innovation Center of Geospatial Technology, Wuhan, ChinaView further author information

Liangpei Zhangd Collaborative Innovation Center of Geospatial Technology, Wuhan, China;e The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, ChinaView further author information

Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images

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Boundary-enhanced dual-stream network for semantic segmentation of high-resolution remote sensing images

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