FR1.R16.5

DEEP LEARNING ON SAR IMAGERY: TRANSFER LEARNING VERSUS RANDOMLY INITIALIZED WEIGHTS

Morteza Karimzadeh, Rafael Pires de Lima, University of Colorado Boulder, United States
Session:
FR1.R16: Advanced Observations of Sea Ice by Satellite SAR in a Changing Climate Oral
Track:
Community-Contributed Sessions
Location:
Room 207
Presentation Time:
Fri, 21 Jul, 09:18 - 09:30 Pacific Time (UTC -7)
Session Co-Chairs:
Lanqing Huang, Swiss Federal Institute of Technology in Zürich and Malin Johansson, UiT The Arctic University of Norway
Session Manager:
Shankho Subhra Pal
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Session FR1.R16
FR1.R16.1: SEA ICE MAPPING WITH SATELLITE L-BAND SAR AND UNFOCUSSED SAR
Son V. Nghiem, Jet Propulsion Laboratory, California Institrute of Technology, United States
FR1.R16.2: Measuring sea ice surface roughness and proxy thickness information using C-band and L-band synthetic aperture radar (SAR) in the Canadian Arctic Archipelago
Grant Macdonald, Randall Scharien, Parnian Rezania, University of Victoria, Canada; Christian Haas, Alfred Wegener Institute, Germany; Stephen Howell, Alexander Komarov, Environment and Climate Change Canada, Canada
FR1.R16.3: Sea ice topographic retrieval in the Western Weddell Sea from TanDEM-X
Lanqing Huang, Irena Hajnsek, Swiss Federal Institute of Technology in Zürich, Switzerland
FR1.R16.4: THE CHALLENGE OF YEAR-LONG HIGH RESOLUTION ICE CLASSIFICATION
Karl Kortum, German Aerospace Center (DLR e.V.), Germany; Suman Singha, Danish Meteorological Institute (DMI), Denmark; Gunnar Spreen, University of Bremen, Germany
FR1.R16.5: DEEP LEARNING ON SAR IMAGERY: TRANSFER LEARNING VERSUS RANDOMLY INITIALIZED WEIGHTS
Morteza Karimzadeh, Rafael Pires de Lima, University of Colorado Boulder, United States
Resources
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