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International Geoscience and Remote Sensing Symposium

In 2021 a joint initiative of Belgium and The Netherlands

TU2.MM-3.1

GCN-BASED SEMANTIC SEGMENTATION METHOD FOR MINE INFORMATION EXTRACTION IN GAOFEN-1 IMAGERY

Chenbin Liang, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences;School of Artificial Intelligence,University of Chinese Academy of Sciences, China; Baihua Xiao, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, China; Bo Cheng, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China
Session:
Semantic Segmentation in Optical Data II
Track:
Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
Presentation Time:
Tue, 13 Jul, 11:00-11:05 (UTC)
Tue, 13 Jul, 13:00-13:05 Central Europe Summer Time (UTC +2)
Tue, 13 Jul, 19:00-19:05 China Standard Time (UTC +8)
Tue, 13 Jul, 07:00-07:05 Eastern Daylight Time (UTC -4)
Session Co-Chairs:
Mayank Jain, University College Dublin and Adrien Chan-Hon-Tong, ONERA
Session Manager:
Dan López-Puigdollers
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Session TU2.MM-3
TU2.MM-3.1: GCN-BASED SEMANTIC SEGMENTATION METHOD FOR MINE INFORMATION EXTRACTION IN GAOFEN-1 IMAGERY
Chenbin Liang, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences;School of Artificial Intelligence,University of Chinese Academy of Sciences, China; Baihua Xiao, State Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, China; Bo Cheng, Aerospace Information Reasearch Institute, Chinese Academy of Sciences, China
TU2.MM-3.2: SEMANTIC LABELING OF VERY HIGH-RESOLUTION IMAGERY BY LEVERAGING CONTEXTUAL INFORMATION WITH OPTIMIZED NON-LOCAL NEURAL NETWORK
Xin Li, Feng Xu, Xin Lyu, Liancheng Zhao, Tao Zeng, Xinyuan Wang, Hohai University, China
TU2.MM-3.3: DUAL-STREAM HIGH RESOLUTION NETWORK FOR MULTI-SOURCE REMOTE SENSING IMAGE SEGMENTATION
Bo Ren, Shibin Ma, Biao Hou, Xidian University, China; Danfeng Hong, German Aerospace Center (DLR), Germany
TU2.MM-3.4: S-MOBILENETV2+SEGNET MODEL AND RAPID IDENTIFICATION OF SUGARCANE
Weiguang Liu, Guoqing Zhou, Jiasheng Xu, Guilin University of Technology, China
TU2.MM-3.5: Demotivate adversarial defense in remote sensing
Adrien Chan-Hon-Tong, Gaston Lenczner, Aurélien Plyer, ONERA, France
TU2.MM-3.6: USING GANs TO AUGMENT DATA FOR CLOUD IMAGE SEGMENTATION TASK
Mayank Jain, Conor Meegan, Soumyabrata Dev, University College Dublin, Ireland
TU2.MM-3.7: SEMANTIC SEGMENTATION FOR HIGH-RESOLUTION REMOTE SENSING IMAGES BY LIGHT-WEIGHT NETWORK
Changjian Deng, Leikun Liang, Yanzhou Su, 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
TU2.MM-3.8: Graph-based approach to improve individual tree crown delineation in temperate forest using structural and spectral information
Matthieu Deluzet, ONERA, France; Thierry Erudel, CS Group, France; Xavier Briottet, ONERA, France; Thomas Houet, LETG-Rennes, France; David Sheeren, Sophie Fabre, ONERA, France
TU2.MM-3.9: EXTRACTION OF OPEN-PIT MINE RECLAMATION AREA WITH CONVOLUTIONAL NEURAL NETWORK
Congtang Meng, Yindi Zhao, Bo Wu, China University of Mining and Technology, China
TU2.MM-3.10: SELF-SUPERVISED IMAGE COLORIZATION FOR SEMANTIC SEGMENTATION OF URBAN LAND COVER
Jonathan González Santiago, Fabian Schenkel, Wolfgang Middelmann, Fraunhofer IOSB, Germany

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