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

WE1.R5: Advanced Clustering Methods for Remote Sensing Data I

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 Summer Time (UTC +2)
Wed, 30 Sep, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session Co-Chairs: Qian Du, Mississippi State University and Mario Parente, University of Massachussets Amherst
Session Managers: Iman Heidarpour Shahrezaei and Mohammad Al-Khaldi
Track: Data Analysis Methods (Optical, Multispectral,Hyperspectral, SAR)
12:00-12:10 (UTC)
20:00-20:10 (UTC +8)
14:00-14:10 (UTC +2)
05:00-05:10 (UTC -7)

WE1.R5.1: L0-Motivated Low Rank Sparse Subspace Clustering for Hyperspectral Imagery
Long Tian, Qian Du, Mississippi State University, United States; Ivica Kopriva, Ruđer Bošković Institute, Croatia (Hrvatska)
12:10-12:20 (UTC)
20:10-20:20 (UTC +8)
14:10-14:20 (UTC +2)
05:10-05:20 (UTC -7)

WE1.R5.2: PATCH-BASED DIFFUSION LEARNING FOR HYPERSPECTRAL IMAGE CLUSTERING
James Murphy, Tufts University, United States
12:20-12:30 (UTC)
20:20-20:30 (UTC +8)
14:20-14:30 (UTC +2)
05:20-05:30 (UTC -7)

WE1.R5.3: LOCALLY CONSTRAINED COLLABORATIVE REPRESENTATION BASED FISHER’S LDA FOR CLUSTERING OF HYPERSPECTRAL IMAGES
Siyu Liu, Nan Huang, Liang Xiao, Nanjing University of Science and Technology, China
12:30-12:40 (UTC)
20:30-20:40 (UTC +8)
14:30-14:40 (UTC +2)
05:30-05:40 (UTC -7)

WE1.R5.4: SATELLITE AGRICULTURAL MONITORING IN UKRAINE AT COUNTRY LEVEL: WORLD BANK PROJECT
Nataliia Kussul, Andrii Shelestov, Space Research Institute National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Ukraine; Hanna Yailymova, Earth Observing System Data Analytics, Ukraine; Bohdan Yailymov, Mykola Lavreniuk, Space Research Institute National Academy of Sciences of Ukraine and State Space Agency of Ukraine, Ukraine; Matviy Ilyashenko, Earth Observing System Data Analytics, Ukraine
12:40-12:50 (UTC)
20:40-20:50 (UTC +8)
14:40-14:50 (UTC +2)
05:40-05:50 (UTC -7)

WE1.R5.5: Classification of Martian terrains via deep clustering of Mastcam images
Mario Parente, Tejas Panambur, University of Massachussets Amherst, United States
12:50-13:00 (UTC)
20:50-21:00 (UTC +8)
14:50-15:00 (UTC +2)
05:50-06:00 (UTC -7)

WE1.R5.6: SCALING UP A MULTISPECTRAL RESNET-50 TO 128 GPUS
Rocco Sedona, Gabriele Cavallaro, Jenia Jitsev, Alexandre Strube, Morris Riedel, Forschungszentrum Jülich, Germany; Matthias Book, University of Iceland, Iceland
13:00-13:10 (UTC)
21:00-21:10 (UTC +8)
15:00-15:10 (UTC +2)
06:00-06:10 (UTC -7)

WE1.R5.7: SPATIAL-SPECTRAL SMOOTH GRAPH CONVOLUTIONAL NETWORK FOR MULTISPECTRAL POINT CLOUD CLASSIFICATION
Qingwang Wang, Harbin Institute of Technology, China; Xiangrong Zhang, Heilongjiang Institute Technology, China; Yanfeng Gu, Harbin Institute of Technology, China
13:10-13:20 (UTC)
21:10-21:20 (UTC +8)
15:10-15:20 (UTC +2)
06:10-06:20 (UTC -7)

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, Pragyan Mohapatra, International Institute of Information Technology, Bangalore, India
13:20-13:30 (UTC)
21:20-21:30 (UTC +8)
15:20-15:30 (UTC +2)
06:20-06:30 (UTC -7)

WE1.R5.9: GLOBAL SEMANTIC LAND USE/LAND COVER BASED ON HIGH RESOLUTION SATELLITE IMAGERY USING ENSEMBLE NETWORKS
Gustav Tapper, Carl Sundelius, Leif Haglund, Vricon, Sweden
13:30-13:40 (UTC)
21:30-21:40 (UTC +8)
15:30-15:40 (UTC +2)
06:30-06:40 (UTC -7)

WE1.R5.10: UNSUPERVISED DOMAIN ADAPTATION TECHNIQUES FOR CLASSIFICATION OF SATELLITE IMAGE TIME SERIES
Benjamin Lucas, Monash University, Australia; Charlotte Pelletier, Bretagne-Sud University, France; Daniel Schmidt, Geoffrey Webb, Francois Petitjean, Monash University, Australia
13:40-13:50 (UTC)
21:40-21:50 (UTC +8)
15:40-15:50 (UTC +2)
06:40-06:50 (UTC -7)

WE1.R5.11: APPLYING A PHENOLOGICAL OBJECT-BASED IMAGE ANALYSIS (PHENOBIA) FOR AGRICULTURAL LAND CLASSIFICATION: A STUDY CASE IN THE BRAZILIAN CERRADO
Hugo Bendini, Leila Fonseca, Anderson Soares, INPE, Brazil; Philippe Rufin, Marcel Schwieder, Humboldt-Universität zu Berlin, Germany; Marcos Rodrigues, Raian Maretto, Thales Korting, INPE, Brazil; Pedro Leitao, Humboldt-Universität zu Berlin, Portugal; Ieda Sanches, INPE, Brazil; Patrick Hostert, Humboldt-Universität zu Berlin, Germany