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Wetland classification based on Sentinel-2 and 3D multisource domain self-attention model
- “In the field of wetland research, experts have proposed the 3D-MDAFSL model, which provides a solution for high-precision extraction and classification of wetland features.”
- Vol. 28, Issue 1, Pages: 266-279(2024)
DOI:10.11834/jrs.20232246
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Xiao Man 中山大学地理科学与规划学院
Li Xinyuan 中山大学地理科学与规划学院
HUO Xuanlin 长安大学 地球科学与资源学院;中国科学院空天信息创新研究院 遥感科学国家重点实验室
NIU Zhenguo 中国科学院空天信息创新研究院 遥感科学国家重点实验室
ZHANG Bo 中国科学院空天信息创新研究院 遥感科学国家重点实验室
LIU Linsong 中国科学院空天信息创新研究院 遥感科学国家重点实验室
LI Xia 长安大学 土地工程学院
CUI Ying 北京师范大学 地理科学学部/遥感与数字地球全国重点实验室
Related Institution
School of Earth Science and Resources, Chang'an University
State Key Laboratory of Remote Sensing Science, Aerospace Information Research Institute, Chinese Academy of Sciences
School of Land Engineering, Chang'an University
State Key Laboratory of Remote Sensing and Digital Earth/Faculty of Geographical Science, Beijing Normal University
College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing


