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2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
2020 IEEE International Geoscience and Remote Sensing Symposium
September 26 - October 2, 2020 • Virtual Symposium
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Session Detail
Session Title
TU1.R7: Learning and Transformation for Image Classification
Presentation Mode
Virtual
Session Time
Tue, 29 Sep, 12:00 - 14:00 UTC
Tue, 29 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Tue, 29 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Tue, 29 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session Chairs
Devis Tuia, Wageningen University & Research and Begüm Demir, Technische Universität Berlin
TU1.R7.1:
MULTI-LABEL REMOTE SENSING IMAGE CLASSIFICATION WITH DEFORMABLE CONVOLUTIONS AND GRAPH NEURAL NETWORKS
Yingyu Diao;
Zhejiang University
Jingzhou Chen;
Zhejiang University
Yuntao Qian;
Zhejiang University
TU1.R7.2:
LEARNING MULTI-LABEL AERIAL IMAGE CLASSIFICATION UNDER LABEL NOISE: A REGULARIZATION APPROACH USING WORD EMBEDDINGS
Yuansheng Hua;
German Aerospace Center & Technical University of Munich
Sylvain Lobry;
Wageningen University & Research
Lichao Mou;
German Aerospace Center & Technical University of Munich
Devis Tuia;
Wageningen University & Research
Xiao Xiang Zhu;
German Aerospace Center & Technical University of Munich
TU1.R7.3:
COMPARING THE PERFORMANCE OF MATHEMATICAL MORPHOLOGY AND BHATTACHARYYA DISTANCE FOR AIRPORT EXTRACTION
Wallace Casaca;
Universidade Estadual Paulista (UNESP)
Daniel Ederli;
Universidade Estadual Paulista (UNESP)
Erivaldo Silva;
Universidade Estadual Paulista (UNESP)
Fernando Baixo;
Universidade Estadual Paulista (UNESP)
Thamires Godoy;
Universidade Estadual Paulista
Marilaine Colnago;
Universidade Estadual Paulista (UNESP)
TU1.R7.4:
SE-HRNET: A DEEP HIGH-RESOLUTION NETWORK WITH ATTENTION FOR REMOTE SENSING SCENE CLASSIFICATION
Lingling Li;
China University of Geosciences
Tian Tian;
China University of Geosciences
Hang Li;
Beijing Aerospace System Engineering Research Institute
Lizhe Wang;
China University of Geosciences
TU1.R7.5:
REMOTE SENSING SCENE CLASSIFICATION BASED ON GLOBAL AND LOCAL CONSISTENT NETWORK
Jingjing Ma;
Xidian University
Qiushuo Ma;
Xidian University
Xu Tang;
Xidian University
Xiangrong Zhang;
Xidian University
Cheng Zhu;
Xidian University
Qunnie Peng;
Science and Technology on Electro-optic Control Laboratory
Licheng Jiao;
Xidian University
TU1.R7.6:
SEMI-SUPERVISED LEARNING-BASED REMOTE SENSING IMAGE SCENE CLASSIFICATION VIA ADAPTIVE PERTURBATION TRAINING
Chen Wang;
University of Electronic Science and Technology of China
Jun Shi;
University of Electronic Science and Technology of China
Yikai Ni;
University of Electronic Science and Technology of China
Yuanyuan Zhou;
University of Electronic Science and Technology of China
Xiaqing Yang;
University of Electronic Science and Technology of China
Shunjun Wei;
University of Electronic Science and Technology of China
Xiaoling Zhang;
University of Electronic Science and Technology of China
TU1.R7.7:
GRAPH EMBEDDING FOR REMOTE SCENE IMAGE CLASSIFICATION BASED ON ATTENTION MODEL
Jinsheng Ji;
Shanghai Jiao Tong University
Xiankai Lu;
Inception Institute of Artificial Intelligence
Zhen Yang;
Jiangxi Science and Technology Normal University
Yiyou Guo;
Tongji University
Huilin Xiong;
Shanghai Jiao Tong University
TU1.R7.8:
REMOTE SENSING SCENE CLASSIFICATION USING SPATIAL TRANSFORMER FUSING NETWORK
Shun Tong;
China University of Geosciences (Wuhan)
Kunlun Qi;
China University of Geosciences (Wuhan)
Qingfeng Guan;
China University of Geosciences (Wuhan)
Qiqi Zhu;
China University of Geosciences (Wuhan)
Chao Yang;
China University of Geosciences (Wuhan)
Jie Zheng;
Wuhan University
TU1.R7.10:
GREENHOUSE EXTRACTION FROM HIGH-RESOLUTION REMOTE SENSING IMAGERY WITH IMPROVED RANDOM FOREST
Tianjing Feng;
China University of Geosciences
Hairong Ma;
Hubei Academy of Agricultural Science
Xinwen Cheng;
China University of Geosciences
TU1.R7.11:
LITHIUM (LI) PEGMATITE MAPPING USING ARTIFICIAL NEURAL NETWORKS (ANNS): PRELIMINARY RESULTS
Joana Cardoso-Fernandes;
Faculty of Sciences, University of Porto
Ana Cláudia Teodoro;
Faculty of Sciences, University of Porto
Alexandre Lima;
Faculty of Sciences, University of Porto
Encarnación Roda-Robles;
Universidad del País Vasco
TU1.R7.12:
A WAVELET DOMAIN BASED CNN SHIP CLASSIFICATION METHOD FOR HIGH RESOLUTION OPTICAL SATELLITE REMOTE SENSING IMAGES
Mengyang Li;
Naval Aviation University
Weiwei Sun;
Naval Aviation University
Darong Xian;
The People's Liberation Army unit 93-155
Xiaohan Zhang;
Naval Aviation University
Xun Lin;
Naval Aviation University
Libo Yao;
Naval Aviation University
Pengyu Zhou;
Naval Aviation University