MO3.R2.3
NEARSHORE SANDBAR DETECTION IN HIGH-RESOLUTION OPTICAL SATELLITE IMAGERY USING DIFFERENT CONVOLUTIONAL NEURAL NETWORK ARCHITECTURES
Rasa Janušaitė, Laurynas Jukna, Vilnius University, Lithuania
Session:
MO3.R2: Coastal Zones I Oral
Track:
Oceans
Location:
TBD
Presentation Time:
Mon, 10 Aug, 14:15 - 14:30
Session Chair:
Stephanie Schollaert Uz, NASA Goddard
Presentation
Discussion
Resources
No resources available.
Session MO3.R2
MO3.R2.1: IS SATELLITE-DERIVED BATHYMETRY VERTICAL ACCURACY DEPENDENT ON SATELLITE MISSION AND PROCESSING METHOD?
Monica Palaseanu-Lovejoy, U.S. Geological Survey (USGS), United States; Jeffrey Danielson, U.S. Geological Survey, United States; Minsu Kim, Kellogg Brown & Root (KBR), Contractor to the U.S. Geological Survey (USGS), United States; Bryan Eder, Gretchen Imahori, National Oceanic and Atmospheric Administration (NOAA, United States; Curt Storlazzi, U.S. Geological Survey (USGS), United States
MO3.R2.2: EXPERIMENTAL EVALUATION OF SAR AND OPTICAL SATELLITE DATA FOR SHIP DETECTION IN COASTAL AND OFFSHORE ENVIRONMENTS
Ibrahim Cahit Ozdemir, Ugur Alganci, Dursun Zafer Seker, Istanbul Technical University, Türkiye
MO3.R2.3: NEARSHORE SANDBAR DETECTION IN HIGH-RESOLUTION OPTICAL SATELLITE IMAGERY USING DIFFERENT CONVOLUTIONAL NEURAL NETWORK ARCHITECTURES
Rasa Janušaitė, Laurynas Jukna, Vilnius University, Lithuania
MO3.R2.4: Utilizing the NASA SWOT Mission to Detect and Track Coastal Ocean Pollutants
Gopal Sundaram, Christopher Ruf, University of Michigan, United States
Contacts