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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

FR4.O-15.3

HIGH-RESOLUTION LAND COVER CHANGE DETECTION USING LOW-RESOLUTION LABELS VIA A SEMI-SUPERVISED DEEP LEARNING APPROACH – 2021 IEEE DATA FUSION CONTEST TRACK MSD

Lilin Tu, Jiayi Li, Xin Huang, Wuhan University, China
Session:
IEEE GRSS Data Fusion Contest II
Track:
Invited Sessions
Presentation Time:
Fri, 16 Jul, 15:10-15:25 (UTC)
Fri, 16 Jul, 17:10-17:25 Central Europe Summer Time (UTC +2)
Fri, 16 Jul, 23:10-23:25 China Standard Time (UTC +8)
Fri, 16 Jul, 11:10-11:25 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Pedram Ghamisi, HZDR-HIF and Yokoya Naoto, RIKEN
Session Manager:
Yuting Yang
Presentation
Discussion
Resources
Session FR4.O-15
FR4.O-15.1: IEEE Data Fusion Contest Overview II
FR4.O-15.2: CHANGE CROSS-DETECTION BASED ON LABEL IMPROVEMENTS AND MULTI-MODEL FUSION FOR MULTI-TEMPORAL REMOTE SENSING IMAGES
Zhuohong Li, Fangxiao Lu, Hongyan Zhang, Guangyi Yang, Liangpei Zhang, Wuhan University, China
FR4.O-15.3: HIGH-RESOLUTION LAND COVER CHANGE DETECTION USING LOW-RESOLUTION LABELS VIA A SEMI-SUPERVISED DEEP LEARNING APPROACH – 2021 IEEE DATA FUSION CONTEST TRACK MSD
Lilin Tu, Jiayi Li, Xin Huang, Wuhan University, China
FR4.O-15.4: MRTA: MULTI-RESOLUTION TRAINING ALGORITHM FOR MULTITEMPORAL SEMANTIC CHANGE DETECTION
Qianyue Bao, Yang Liu, Zixiao Zhang, Dafan Chen, Yuting Yang, Licheng Jiao, Fang Liu, Xidian University, China
FR4.O-15.5: WEAKLY SUPERVISED SEMANTIC CHANGE DETECTION VIA LABEL REFINEMENT FRAMEWORK
Zhuo Zheng, Yinhe Liu, Shiqi Tian, Junjue Wang, Ailong Ma, Yanfei Zhong, Wuhan University, China

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