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 FR1.R2: Machine Learning for Earth Observation II
Presentation Mode Virtual
Session Time Fri, 02 Oct, 12:00 - 14:00 UTC
Fri, 02 Oct, 20:00 - 22:00 China Standard Time (UTC +8)
Fri, 02 Oct, 14:00 - 16:00 Central Europe Time (UTC +2)
Fri, 02 Oct, 05:00 - 07:00 Pacific Daylight Time (UTC -7)
Session ChairsLexie Yang, Oak Ridge National Laboratory and Yuliya Tarabalka, LuxCarta
FR1.R2.1: CLASSIFYING GLOBAL LOW CLOUD MORPHOLOGY WITH A DEEP LEARNING MODEL: RESULTS AND POTENTIAL USE
         Tianle Yuan; NASA GFSC / UMBC JCET
         Hua Song; NASA GFSC / SSAI
         John Mohrmann; Univ. of Washington
         Robert Wood; Univ. of Washington
         Kerry Meyer; NASA Goddard Space Flight Center
         Lazaros Oreopoulos; NASA Goddard Space Flight Center
         Steven Platnick; NASA Goddard Space Flight Center
FR1.R2.2: DEEP RECURRENT NEURAL NETWORK FOR CROP CLASSIFICATION TASK BASED ON SENTINEL-1 AND SENTINEL-2 IMAGERY
         Nataliia Kussul; Space Research Institute
         Mykola Lavreniuk; Space Research Institute
         Leonid Shumilo; Space Research Institute
FR1.R2.3: A FAST SEARCH SYSTEM FOR REMOTE SENSING IMAGERY BASED ON BAG OF VISUAL WORDS AND LATENT DIRICHLET ALLOCATION
         Chandrabali Karmakar; German Aerospace Center (DLR)
         Mihai Datcu; German Aerospace Center (DLR)
FR1.R2.4: COMPLEXITY ANALYSIS OF AN EDGE PRESERVING CNN SAR DESPECKLING ALGORITHM
         Sergio Vitale; Università di Napoli Parthenope
         Giampaolo Ferraioli; Università di Napoli Parthenope
         Vito Pascazio; Università di Napoli Parthenope
FR1.R2.5: A DECEPTIVE JAMMING TEMPLATE SYNTHESIS METHOD FOR SAR USING GENERATIVE ADVERSARIAL NETS
         Weiwei Fan; Xidian University
         Feng Zhou; Xidian University
         Tian Tian; Xidian University
FR1.R2.6: IDENTIFYING SEA ICE RIDGING IN SAR IMAGERY USING CONVOLUTIONAL NEURAL NETWORKS
         Daniel Sola; University of Waterloo
         Anmol Sharan Nagi; University of Waterloo
         K Andrea Scott; University of Waterloo
FR1.R2.7: MULTI-SCALE AND TEMPORAL TRANSFER LEARNING FOR AUTOMATIC TRACKING OF INTERNAL ICE LAYERS
         Masoud Yari; University of Maryland, Baltimore County
         Maryam Rahnemoonfar; University of Maryland, Baltimore County
         John Paden; Kansas University
FR1.R2.8: THE SMART ICE CLOUD SENSING (SMICES) SMALLSAT CONCEPT
         Xavier Bosch Lluis; NASA Jet Propulsion Laboratory
         Mehmet Ogut; NASA Jet Propulsion Laboratory
         Sidharth Misra; NASA Jet Propulsion Laboratory
         Pekka Kangaslahti; NASA Jet Propulsion Laboratory
         Jonathan Jiang; NASA Jet Propulsion Laboratory
         Erich Schlecht; NASA Jet Propulsion Laboratory
         William Deal; Northrop Grumman Corporation
FR1.R2.9: SCHEDULING MISSION RECONFIGURATION FOR AN INTERFEROMETRY SYNTHETIC APERTURE RADAR USING DEEP REINFORCEMENT LEARNING
         Antoni Viros-i-Martin; Texas A&M University
         Daniel Selva; Texas A&M University
         Ryan Alimo; NASA Jet Propulsion Laboratory, California Institute of Technology
FR1.R2.10: DATA MINING ON THE CANDELA CLOUD PLATFORM
         Wei Yao; German Aerospace Center
         Octavian Dumitru; German Aerospace Center
         Jose Lorenzo; ATOS SPAIN SA
         Mihai Datcu; German Aerospace Center
FR1.R2.11: THE SMART ICE CLOUD SENSING (SMICES) SMALLSAT INSTRUMENT ARTIFICIAL INTELLIGENCE STRATEGIES
         Mehmet Ogut; NASA Jet Propulsion Laboratory, California Institute of Technology
         Xavier Bosch-Lluis; NASA Jet Propulsion Laboratory, California Institute of Technology
         Sidharth Misra; NASA Jet Propulsion Laboratory, California Institute of Technology
         Pekka Kangaslahti; NASA Jet Propulsion Laboratory, California Institute of Technology
         Jonathan Jiang; NASA Jet Propulsion Laboratory, California Institute of Technology
         Erich Schlecht; NASA Jet Propulsion Laboratory, California Institute of Technology
         William Deal; Northrop Grumman Corporation
         Kevin Leong; Northrop Grumman Corporation
         Caitlyn Cooke; Northrop Grumman Corporation
         Ken Kreischer; Northrop Grumman Corporation
         John Tucek; Northrop Grumman Corporation
FR1.R2.12: PENALTY DRIVEN TRAINING SAMPLE REFINEMENT TECHNIQUE FOR HYPERSPECTRAL IMAGES CLASSIFICATION USING ANT COLONY OPTIMIZATION
         Shakti Sharma; Bennett University