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

My IGARSS 2020 Schedule

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Session Detail

Session Title WE2.R5: Advanced Clustering Methods for Remote Sensing Data II
Presentation Mode Virtual
Session Time Wed, 30 Sep, 14:30 - 16:30 UTC
Wed, 30 Sep, 22:30 - 00:30 China Standard Time (UTC +8)
Wed, 30 Sep, 16:30 - 18:30 Central Europe Time (UTC +2)
Wed, 30 Sep, 07:30 - 09:30 Pacific Daylight Time (UTC -7)
Session ChairsBegüm Demir, Technische Universität Berlin and Feng Xu, Fudan University
WE2.R5.1: A COMPARATIVE STUDY OF DEEP LEARNING LOSS FUNCTIONS FOR MULTI-LABEL REMOTE SENSING IMAGE CLASSIFICATION
         Hichame Yessou; Technische Universität Berlin
         Gencer Sumbul; Technische Universität Berlin
         Begüm Demir; Technische Universität Berlin
WE2.R5.2: A CNN-GCN FRAMEWORK FOR MULTI-LABEL AERIAL IMAGE SCENE CLASSIFICATION
         Yansheng Li; Wuhan University
         Ruixian Chen; Wuhan University
         Yongjun Zhang; Wuhan University
         Hang Li; Beijing Aerospace System Engineering Research Institute
WE2.R5.3: CLASS-WISE ADVERSARIAL TRANSFER NETWORK FOR REMOTE SENSING SCENE CLASSIFICATION
         Zixu Liu; China University of Geosciences
         Li Ma; China University of Geosciences
WE2.R5.4: RELATIONSHIPS EXCAVATING OF AUGMENTED FEATURE FOR REMOTE SENSING SCENE CLASSIFICATION
         Lei Dan; Northwestern Polytechnical University
         Xuelong Li; Northwestern Polytechnical University
WE2.R5.5: AN OPEN SET DOMAIN ADAPTATION NETWORK BASED ON ADVERSARIAL LEARNING FOR REMOTE SENSING IMAGE SCENE CLASSIFICATION
         Jun Zhang; Hebei University of Technology
         Jiao Liu; Hebei University of Technology
         Lukui Shi; Hebei University of Technology
         Bin Pan; Nankai University
         Xia Xu; NanKai University
WE2.R5.6: RSSM-NET: REMOTE SENSING IMAGE SCENE CLASSIFICATION BASED ON MULTI-OBJECTIVE NEURAL ARCHITECTURE SEARCH
         Yuting Wan; Wuhan University
         Yanfei Zhong; Wuhan University
         Ailong Ma; Wuhan University
         Junjue Wang; Wuhan University
         Ruyi Feng; China University of Geosciences (Wuhan)
WE2.R5.7: TOPIC MODEL FOR REMOTE SENSING DATA: A COMPREHENSIVE REVIEW
         Qiqi Zhu; China University of Geosciences
         Jiangqin Wan; China University of Geosciences
         Yanfei Zhong; Wuhan University
         Qingfeng Guan; China University of Geosciences
         Liangpei Zhang; Wuhan University
         Deren Li; Wuhan University
WE2.R5.8: MAPPING LOCAL CLIMATE ZONES WITH CIRCLED SIMILARITY PROPAGATION BASED DOMAIN ADAPTATION
         Nan Zhao; Wuhan University
         Yanfei Zhong; Wuhan University
         Ailong Ma; Wuhan University
WE2.R5.9: UNSUPERVISED MIXED MULTI-TARGET DOMAIN ADAPTATION FOR REMOTE SENSING IMAGES CLASSIFICATION
         Juepeng Zheng; Tsinghua University
         Wenzhao Wu; Tsinghua University
         Haohuan Fu; Tsinghua University
         Weijia Li; Chinese University of Hong Kong
         Runmin Dong; Tsinghua University
         Lixian Zhang; Tsinghua University
         Shuai Yuan; Tsinghua University
WE2.R5.10: UNSUPERVISED STYLE TRANSFER VIA DUALGAN FOR CROSS-DOMAIN AERIAL IMAGE CLASSIFICATION
         Yansheng Li; Wuhan University
         Te Shi; Wuhan University
         Wei Chen; Wuhan University
         Yongjun Zhang; Wuhan University
         Zhibin Wang; Alibaba Group
         Hao Li; Alibaba Group
WE2.R5.11: MAPPING DEFORESTED AREAS IN THE CERRADO BIOME THROUGH RECURRENT NEURAL NETWORKS
         Bruno Menini Matosak; National Institute for Space Research (INPE)
         Raian Vargas Maretto; National Institute for Space Research (INPE)
         Thales Sehn Körting; National Institute for Space Research (INPE)
         Marcos Adami; National Institute for Space Research (INPE)
         Leila Maria Garcia Fonseca; National Institute for Space Research (INPE)