16 - 21 July, 2023
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Technical Program
Session FR2.R12
Paper FR2.R12.5
FR2.R12.5
SUPERVISED MACHINE LEARNING FOR FLOOD EXTENT DETECTION WITH OPTICAL SATELLITE DATA
Ben Gaffinet, RSS-Hydro, Luxembourg; Ron Hagensieker, osir.io, Germany; Livio Loi, Guy Schumann, RSS-Hydro, Luxembourg
Session:
FR2.R12: Responsible AI4EO II: Technical Methods
Oral
Track:
Community-Contributed Sessions
Location:
Room 102
Presentation Time:
Fri, 21 Jul, 11:03 - 11:15 Pacific Time (UTC -7)
Session Co-Chairs:
Cristiano Nattero, WASDI and Andrea Rapuzzi, A-SIGN
Session Manager:
Al Adil Al Hinai
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Session FR2.R12
FR2.R12.1: NEREUS: A SPACE-BASED MARITIME SURVEILLANCE SYSTEM FOR FISHERIES MONITORING AND ANOMALY DETECTION
Raffaella Guida, Maximilian Rodger, University of Surrey, United Kingdom; Vickram Bissonauth, Ziyaad Soreefan, Pawan Hurnath, Mauritius Research and Innovation Council, Mauritius; Mary Matthews, Ahmed Elseoud, United Nations Development Programme, United States
FR2.R12.2: PIXEL REGRESSION FROM HETEROGENEOUS INPUT AND INCOMPLETE GROUND TRUTH, WITH APPLICATIONS TO ENVIRONMENTAL MONITORING
Andrea Rapuzzi, A-SIGN, Italy; Marco Menapace, FadeOut Software, Italy; Cristiano Nattero, Paolo Campanella, WASDI, Italy
FR2.R12.3: REVEALING DARK VESSELS IN THE MAURITIUS EXCLUSIVE ECONOMIC ZONE (EEZ) USING MULTI-TEMPORAL SAR AND AIS DATA
Maximilian Rodger, Raffaella Guida, University of Surrey, United Kingdom
FR2.R12.4: AUTOMATIC URBAN AREA EXTRACTION USING SENTINEL-1 AND SENTINEL-2 DATA BASED ON CROSS-FUSION NEURAL NETWORKS
Yu Li, Patrick Matgen, Marco Chini, Luxembourg Institute of Science and Technology, Luxembourg
FR2.R12.5: SUPERVISED MACHINE LEARNING FOR FLOOD EXTENT DETECTION WITH OPTICAL SATELLITE DATA
Ben Gaffinet, RSS-Hydro, Luxembourg; Ron Hagensieker, osir.io, Germany; Livio Loi, Guy Schumann, RSS-Hydro, Luxembourg
Resources
No resources available.