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International Journal of Remote Sensing Volume 42, 2021 - Issue 6
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Research Article

Cloud/shadow segmentation based on global attention feature fusion residual network for remote sensing imagery

Min Xiaa Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, ChinaCorrespondence[email protected] [email protected]
ORCID Iconhttps://orcid.org/0000-0003-4681-9129View further author information
ORCID Icon,
Tao Wanga Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, ChinaView further author information
,
Yonghong Zhanga Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, ChinaView further author information
,
Jia Liua Jiangsu Collaborative Innovation Center on Atmospheric Environment and Equipment Technology, Nanjing University of Information Science and Technology, Nanjing, ChinaView further author information
&
Yiqing Xub College of Information Science and Technology, Nanjing Forestry University, Nanjing, ChinaORCID Iconhttps://orcid.org/0000-0002-7962-6668View further author information
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Pages 2022-2045 | Received 18 Feb 2020, Accepted 09 Oct 2020, Published online: 29 Dec 2020

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Jiangfan Feng, Juntao Liu, Zhujun Gu & Wei Zheng. (2023) OAMSFNet: Orientation-Aware and Multi-Scale Feature Fusion Network for shadow detection in remote sensing images via pseudo shadow. International Journal of Remote Sensing 44:17, pages 5473-5495.
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Xianjun Du & Hailei Wu. (2023) Feature-aware aggregation network for remote sensing image cloud detection. International Journal of Remote Sensing 44:6, pages 1872-1899.
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Shoukuan Miao, Min Xia, Ming Qian, Yonghong Zhang, Jia Liu & Haifeng Lin. (2022) Cloud/shadow segmentation based on multi-level feature enhanced network for remote sensing imagery. International Journal of Remote Sensing 43:15-16, pages 5940-5960.
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