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

FR1.R2.6

IDENTIFYING SEA ICE RIDGING IN SAR IMAGERY USING CONVOLUTIONAL NEURAL NETWORKS

Daniel Sola, Anmol Sharan Nagi, K Andrea Scott, University of Waterloo, Canada
Session:
Machine Learning for Earth Observation II
Track:
Special Themes
Presentation Time:
Fri, 2 Oct, 12:50-13:00 (UTC)
Fri, 2 Oct, 20:50-21:00 China Standard Time (UTC +8)
Fri, 2 Oct, 14:50-15:00 Central Europe Summer Time (UTC +2)
Fri, 2 Oct, 05:50-06:00 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
Lexie Yang, Oak Ridge National Laboratory and Yuliya Tarabalka, LuxCarta
Session Managers:
Selena Chavez and Juan Carlos Hernandez Sanchez

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Session

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