TH4.P4.4
MSDGNet: A POINT-BASED WEAKLY SUPERVISED SEMANTIC SEGMENTATION MODEL
Yuanhao Zhao, Genyun Sun, Aizhu Zhang, China University of Petroleum (East China), China; Jinchang Ren, Robert Gordon University, United Kingdom
Session:
TH4.P4: Remote Sensing for Wetland Sustainability II Oral
Track:
Community-Contributed Sessions
Location:
Plaza: Room P4
Presentation Time:
Thursday, 7 August, 16:30 - 16:45
Session Co-Chairs:
Genyun Sun, Qingdao Marine Science and Technology Center and Ziyan Ling, Qingdao University of Technology
Session TH4.P4
TH4.P4.1: GLOBAL WETLAND WATCH – A NEW SYSTEM FOR GLOBALLY MAPPING AND MONITORING CHANGES TO WETLAND ECOSYSTEMS
Daniel Druce, Puzhao Zhang, Gyde Krüger, Cecile M. M. Kittel, Torsten Bondo, Christian Tottrup, DHI, Australia
TH4.P4.2: Global status of mangrove forests: creating a high spatial resolution dataset and further analysis
Mingming Jia, Northeast Institute of Geography and Agroecology, CAS, China
TH4.P4.3: Monitoring mangrove changes in Australia based on automatic generation of potential extent
Siyu Qian, Yankun Chen, Tao Liang, Yue Tian, Zhaohui Xue, Hohai University, China
TH4.P4.4: MSDGNet: A POINT-BASED WEAKLY SUPERVISED SEMANTIC SEGMENTATION MODEL
Yuanhao Zhao, Genyun Sun, Aizhu Zhang, China University of Petroleum (East China), China; Jinchang Ren, Robert Gordon University, United Kingdom
TH4.P4.5: Remote Sensing for Peatland Conservation and Sustainability: Survey and Analysis
Hang Fu, Ocean University of China, China; Jinchang Ren, Guangdong Polytechnic Normal University, China; Aizhu Zhang, China University of Petroleum (East China), China; Ping Ma, Shanghai Ocean University, China; Xiangming Xiao, University of Oklahoma, China; Yijun Yan, Yunnan Power Grid Company, Ltd., China
Resources