Unsupervised SAR Images for Submesoscale Oceanic Eddy Detection
Author:
Affiliation:
1. North Carolina State University,Electrical and Computer Engineering,Raleigh,NC
2. Jet Propulsion Laboratory,California Institute of Technology,Pasadena,CA
Funder
Jet Propulsion Laboratory
California Institute of Technology
National Aeronautics and Space Administration
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282488.pdf?arnumber=10282488
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3. Google Earth Engine: Planetary-scale geospatial analysis for everyone
4. Statistical analyses of eddies in the Western Mediterranean Sea based on Synthetic Aperture Radar imagery
5. Momentum contrast for unsupervised visual representation learning;he,2019
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1. Towards submesoscale eddy detection in SDGSAT-1 data through deep learning;International Journal of Digital Earth;2024-06-27
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