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GIScience & Remote Sensing Volume 60, 2023 - Issue 1
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Research Article

Water extraction from optical high-resolution remote sensing imagery: a multi-scale feature extraction network with contrastive learning

Bo LiuInstitute of Remote Sensing and GIS, Peking University, Beijing, ChinaView further author information
,
Shihong DuInstitute of Remote Sensing and GIS, Peking University, Beijing, ChinaCorrespondence[email protected]
View further author information
,
Lubin BaiInstitute of Remote Sensing and GIS, Peking University, Beijing, ChinaView further author information
,
Song OuyangInstitute of Remote Sensing and GIS, Peking University, Beijing, ChinaView further author information
,
Haoyu WangInstitute of Remote Sensing and GIS, Peking University, Beijing, ChinaView further author information
&
Xiuyuan ZhangInstitute of Remote Sensing and GIS, Peking University, Beijing, ChinaView further author information
Article: 2166396 | Received 25 Aug 2022, Accepted 04 Jan 2023, Published online: 10 Jan 2023

Citations (4)

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Read on this site (1)

Donghui Ma, Liguang Jiang, Jie Li & Yun Shi. (2023) Water index and Swin Transformer Ensemble (WISTE) for water body extraction from multispectral remote sensing images. GIScience & Remote Sensing 60:1.
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Articles from other publishers (3)

Yanjiao Song, Xiaoping Rui & Junjie Li. (2024) AEDNet: An Attention-Based Encoder–Decoder Network for Urban Water Extraction From High Spatial Resolution Remote Sensing Images. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 17, pages 1286-1298.
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Jian Kang, Haiyan Guan, Lingfei Ma, Lanying Wang, Zhengsen Xu & Jonathan Li. (2023) WaterFormer: A coupled transformer and CNN network for waterbody detection in optical remotely-sensed imagery. ISPRS Journal of Photogrammetry and Remote Sensing 206, pages 222-241.
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Di You, Shixin Wang, Futao Wang, Yi Zhou, Zhenqing Wang, Yanchao Wang, Jingming Wang, Yibing Xiong & Jianwan Ji. (2023) Monitoring and Analyzing the Effectiveness of the Effective Refuge Area of Emergency Shelters by Using Remote Sensing: A Case Study of Beijing’s Fifth Ring Road. Remote Sensing 15:14, pages 3646.
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