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 TU1.R17: Machine Learning for Earth Observation I
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 ChairsRonny Hänsch, German Aerospace Center (DLR) and Andrea Marinoni, Arctic University of Norway
TU1.R17.1: MULTI-OBJECTIVE OPTIMIZATION FOR ACTIVE SENSOR FUSION
         Sebastian Haan; University of Sydney
         Fabio Ramos; University of Sydney
         Dietmar Muller; University of Sydney
TU1.R17.2: TRAINING GENERAL REPRESENTATIONS FOR REMOTE SENSING USING IN-DOMAIN KNOWLEDGE
         Maxim Neumann; Google
         Andre Susano Pinto; Google
         Xiaohua Zhai; Google
         Neil Houlsby; Google
TU1.R17.3: REMOTE SENSING IMAGE CAPTIONING WITH SVM-BASED DECODING
         Genc Hoxha; University of Trento
         Farid Melgani; University of Trento
TU1.R17.4: VISUAL LOCALIZATION BASED ON REMOTE SENSING SCENE MATCHING WITH SIAMESE FEATURE AGGREGATION NETWORK
         Wang Chen; Northwestern Polytechnical University
         Yuan Yuan; Northwestern Polytechnical University
         Ganchao Liu; Northwestern Polytechnical University
TU1.R17.5: STEREO MATCHING OF VHR REMOTE SENSING IMAGES VIA BIDIRECTIONAL PYRAMID NETWORK
         Rongshu Tao; Chinese Academy of Sciences
         Yuming Xiang; Chinese Academy of Sciences
         Hongjian You; Chinese Academy of Sciences
TU1.R17.6: ANGULAR LUMINANCE FOR MATERIAL SEGMENTATION
         Jia Xue; Rutgers University
         Matthew Purri; Rutgers University
         Kristin Dana; Rutgers University
TU1.R17.7: REMOTE SENSING IMAGE SEGMENTATION METHOD BASED ON HRNET
         Zhi Cheng; Huanggang Polytechnic College
         Daocai Fu; University of Electronic Science and Technology of China
TU1.R17.8: MULTI SEASONAL DEEP LEARNING CLASSIFICATION OF VENUS IMAGES
         Ido Faran; Bar Ilan University
         Nathan Netanyahu; Bar Ilan University
         Eli David; Bar Ilan University
         Ronit Rud; Technion Israel Institute of Technology
         Maxim Shoshany; Technion Israel Institute of Technology
TU1.R17.9: TRANSLATING MULTISPECTRAL IMAGERY TO NIGHTTIME IMAGERY VIA CONDITIONAL GENERATIVE ADVERSARIAL NETWORKS
         Xiao Huang; University of South Carolina
         Dong Xu; East China Normal University
         Zhenlong Li; University of South Carolina
         Cuizhen Wang; University of South Carolina
TU1.R17.10: A DEEP LEARNING MODEL FOR OCEANIC MESOSCALE EDDY DETECTION BASED ON MULTI-SOURCE REMOTE SENSING IMAGERY
         Yingjie Liu; Institute of Oceanology, Chinese Academy of Sciences
         Xiaofeng Li; Institute of Oceanology, Chinese Academy of Sciences
         Yibin Ren; Institute of Oceanology, Chinese Academy of Sciences
TU1.R17.11: IDENTIFICATION OF ARCHAEOLOGICAL LAND USE EMPLOYING DEEP LEARNING TECHNIQUES: PROSPECTIVE STUDY WITHIN MEXICO
         Ivan Villalon-Turrubiates; Instituto Tecnológico y de Estudios Superiores de Occidente, ITESO
         Maria Llovera-Torres; Universidad Autónoma de San Luis Potosí (UASLP)