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 WE1.R5: Advanced Clustering Methods for Remote Sensing Data I
Presentation Mode Virtual
Session Time Wed, 30 Sep, 12:00 - 14:00 UTC
Wed, 30 Sep, 20:00 - 22:00 China Standard Time (UTC +8)
Wed, 30 Sep, 14:00 - 16:00 Central Europe Time (UTC +2)
Wed, 30 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsQian Du, Mississippi State University and Mario Parente, University of Massachussets Amherst
WE1.R5.1: L0-MOTIVATED LOW RANK SPARSE SUBSPACE CLUSTERING FOR HYPERSPECTRAL IMAGERY
         Long Tian; Mississippi State University
         Qian Du; Mississippi State University
         Ivica Kopriva; Ruđer Bošković Institute
WE1.R5.2: PATCH-BASED DIFFUSION LEARNING FOR HYPERSPECTRAL IMAGE CLUSTERING
         James Murphy; Tufts University
WE1.R5.3: LOCALLY CONSTRAINED COLLABORATIVE REPRESENTATION BASED FISHER’S LDA FOR CLUSTERING OF HYPERSPECTRAL IMAGES
         Siyu Liu; Nanjing University of Science and Technology
         Nan Huang; Nanjing University of Science and Technology
         Liang Xiao; Nanjing University of Science and Technology
WE1.R5.4: SATELLITE AGRICULTURAL MONITORING IN UKRAINE AT COUNTRY LEVEL: WORLD BANK PROJECT
         Nataliia Kussul; Space Research Institute National Academy of Sciences of Ukraine and State Space Agency of Ukraine
         Andrii Shelestov; Space Research Institute National Academy of Sciences of Ukraine and State Space Agency of Ukraine
         Hanna Yailymova; Earth Observing System Data Analytics
         Bohdan Yailymov; Space Research Institute National Academy of Sciences of Ukraine and State Space Agency of Ukraine
         Mykola Lavreniuk; Space Research Institute National Academy of Sciences of Ukraine and State Space Agency of Ukraine
         Matviy Ilyashenko; Earth Observing System Data Analytics
WE1.R5.5: CLASSIFICATION OF MARTIAN TERRAINS VIA DEEP CLUSTERING OF MASTCAM IMAGES
         Mario Parente; University of Massachussets Amherst
         Tejas Panambur; University of Massachussets Amherst
WE1.R5.6: SCALING UP A MULTISPECTRAL RESNET-50 TO 128 GPUS
         Rocco Sedona; Forschungszentrum Jülich
         Gabriele Cavallaro; Forschungszentrum Jülich
         Jenia Jitsev; Forschungszentrum Jülich
         Alexandre Strube; Forschungszentrum Jülich
         Morris Riedel; Forschungszentrum Jülich
         Matthias Book; University of Iceland
WE1.R5.7: SPATIAL-SPECTRAL SMOOTH GRAPH CONVOLUTIONAL NETWORK FOR MULTISPECTRAL POINT CLOUD CLASSIFICATION
         Qingwang Wang; Harbin Institute of Technology
         Xiangrong Zhang; Heilongjiang Institute Technology
         Yanfeng Gu; Harbin Institute of Technology
WE1.R5.8: INFLUENCE OF ALEATORIC UNCERTAINTY ON SEMANTIC CLASSIFICATION OF AIRBORNE LIDAR POINT CLOUDS: A CASE STUDY WITH RANDOM FOREST CLASSIFIER USING MULTISCALE FEATURES
         Jaya Sreevalsan-Nair; International Institute of Information Technology, Bangalore
         Pragyan Mohapatra; International Institute of Information Technology, Bangalore
WE1.R5.9: GLOBAL SEMANTIC LAND USE/LAND COVER BASED ON HIGH RESOLUTION SATELLITE IMAGERY USING ENSEMBLE NETWORKS
         Gustav Tapper; Vricon
         Carl Sundelius; Vricon
         Leif Haglund; Vricon
WE1.R5.10: UNSUPERVISED DOMAIN ADAPTATION TECHNIQUES FOR CLASSIFICATION OF SATELLITE IMAGE TIME SERIES
         Benjamin Lucas; Monash University
         Charlotte Pelletier; Bretagne-Sud University
         Daniel Schmidt; Monash University
         Geoffrey Webb; Monash University
         Francois Petitjean; Monash University
WE1.R5.11: APPLYING A PHENOLOGICAL OBJECT-BASED IMAGE ANALYSIS (PHENOBIA) FOR AGRICULTURAL LAND CLASSIFICATION: A STUDY CASE IN THE BRAZILIAN CERRADO
         Hugo Bendini; INPE
         Leila Fonseca; INPE
         Anderson Soares; INPE
         Philippe Rufin; Humboldt-Universität zu Berlin
         Marcel Schwieder; Humboldt-Universität zu Berlin
         Marcos Rodrigues; INPE
         Raian Maretto; INPE
         Thales Korting; INPE
         Pedro Leitao; Humboldt-Universität zu Berlin
         Ieda Sanches; INPE
         Patrick Hostert; Humboldt-Universität zu Berlin