The Influence of Input Variable Selection on Deep Learning-Based Sea Ice Parameter Inversion from Multi-Sensor Satellite Data
Author:
Affiliation:
1. University of Waterloo,Vision and Image Processing Lab,Department of System Design Engineering
2. Memorial University of Newfoundland,Faculty of Engineering and Applied Science,St. John's,NL,Canada,A1B 3X5
Funder
Environment and Climate Change Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10336884/10336949/10337212.pdf?arnumber=10337212
Reference24 articles.
1. Deep Learning Based Sea Ice Classification with Gaofen-3 Fully Polarimetric SAR Data
2. Light from space illuminating the polar silk road
3. Visual interpretation of synthetic aperture radar sea ice imagery by expert and novice analysts: An eye tracking study;Gegiuc;The Cryosphere Discussions,2022
4. Operational SAR Sea-Ice Image Classification
5. Operational map-guided classification of SAR sea ice imagery
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