WE4.R16.3

A DEEP LEARNING BASED SELF-EVOLVING OIL SPILL DETECTION ALGORITHM USING SENTINEL-1 SAR IMAGES

Chenglei Li, Soyeon Park, Duk-jin Kim, Junwoo Kim, Seoul National University, South Korea
Session:
WE4.R16: SAR Monitoring of Hazards on Marine Coastal Environments Oral
Track:
Community-Contributed Sessions
Location:
Room 207
Presentation Time:
Wed, 19 Jul, 16:09 - 16:21 Pacific Time (UTC -8)
Session Co-Chairs:
Martin Gade, Universität Hamburg and Gordon Staples, MDA
Session Manager:
Shubham Awasthi
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Session WE4.R16
WE4.R16.1: A THRESHOLD MODEL FOR OIL SPILL DETECTION BY ESTIMATING NRCS FOR OCEAN SURFACE FROM SENTINEL-1 IMAGES
Soyeon Park, Chenglei Li, Duk-jin Kim, Seoul National University, South Korea
WE4.R16.2: A COMPARISON BETWEEN OIL-TO-WATER VOLUMETRIC FRACTIONS DERIVED FROM L-BAND SYNTHETIC APERTURE RADAR IMAGERY AND IN SITU SAMPLES
Cornelius Quigley, UiT-The Arctic University of Norway, Norway; Malin Johansson, UiT – The Arctic University of Norway, Norway; Cathleen Jones, Jet Propulsion Laboratory, California Institute of Technology, United States; Oscar Garcia-Pineda, Water Mapping LLC, United States; Frank Monaldo, University of Maryland/National Oceanic and Atmospheric Administration, United States
WE4.R16.3: A DEEP LEARNING BASED SELF-EVOLVING OIL SPILL DETECTION ALGORITHM USING SENTINEL-1 SAR IMAGES
Chenglei Li, Soyeon Park, Duk-jin Kim, Junwoo Kim, Seoul National University, South Korea
WE4.R16.4: ON THE USE OF SAR DATA TO MONITOR COASTAL EROSION AND MORPHODYNAMICS IN INTERTIDAL AREAS
Martin Gade, Sebastian Peters, Simon Schäfers, Universität Hamburg, Germany
WE4.R16.5: ANALYSIS OF FULL-POLARIMETRIC SAR MEASUREMENTS COLLECTED IN THE INTERTIDAL AREA OF SOLWAY FIRTH BY THE COSMO-SKYMED 2ND GENERATION MISSION
Ferdinando Nunziata, Giovanna Inserra, Andrea Buono, Università degli Studi di Napoli Parthenope, Italy; Armando Marino, University of Stirling, Italy; Maria Virelli, Agenzia Spaziale Italiana, Italy; Maurizio Migliaccio, Università degli Studi di Napoli Parthenope, Italy
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