International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TH1.O-3: Semantic Segmentation in Optical Data I
Thu, 15 Jul, 08:30 - 10:00 (UTC)
Thu, 15 Jul, 10:30 - 12:00 Central Europe Summer Time (UTC +2)
Thu, 15 Jul, 16:30 - 18:00 China Standard Time (UTC +8)
Thu, 15 Jul, 04:30 - 06:00 Eastern Daylight Time (UTC -4)
Session Co-Chairs: Junli Yang, Beijing University of Posts and Telecommunications and Jiahui Yang, China University of Geosciences
Session Manager: Sina Mohammadi
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)

TH1.O-3.1: UNSUPERVISED DOMAIN ADAPTATION FOR SEMANTIC SEGMENTATION VIA SELF-SUPERVISION

Weifa Shen, Qixiong Wang, Hongxiang Jiang, Sen Li, Jihao Yin, Beihang University, China

TH1.O-3.2: TRIPLE ATTENTION NETWORK FOR MULTI-CLASS SEMANTIC SEGMENTATION IN AERIAL IMAGES

Yu Si, Yuxia Li, University of Electronic Science and Technology of China, China; Huanping Wu, China Meteorological Administration, China; Lang Yuan, University of Electronic Science and Technology of China, China; Yuzhen Li, ChengDu Software Industry Development Center, China; Lei He, Chengdu University of Information Technology, China

TH1.O-3.3: DUAL LIGHTWEIGHT NETWORK WITH ATTENTION AND FEATURE FUSION FOR SEMANTIC SEGMENTATION OF HIGH-RESOLUTION REMOTE SENSING IMAGES

Yijie Zhang, Yulan Chen, Qijun Ma, University of Electronic Science and Technology of China, China; Changtao He, Sichuan Jiuzhou Eletric Group Co., Ltd, China; Jian Cheng, University of Electronic Science and Technology of China, China

TH1.O-3.4: EFFICIENT SEMANTIC SEGMENTATION METHOD WITH STRIP POOLING FOR VHR REMOTE SENSING IMAGES

Yifan Sheng, Junli Yang, Youguang Lin, Yu Lei, Beijing University of Posts and Telecommunications, China

TH1.O-3.5: REAL-TIME SEMANTIC SEGMENTATION OF AERIAL VIDEOS BASED ON BILATERAL SEGMENTATION NETWORK

Yihao Zuo, Junli Yang, Zihao Zhu, Ruizhe Li, Yuhan Zhou, Yutong Zheng, Beijing University of Posts and Telecommunications, China

TH1.O-3.6: UCWATER: UNSUPERVISED CONTENT-ADAPTIVE WATER-BODY EXTRACTION FRAMEWORK FOR HIGH-RESOLUTION SATELLITE IMAGERY

Jiahui Yang, Qiqi Zhu, Jianjun Lv, Qingfeng Guan, China University of Geosciences, China