Enhancing Sea Ice Type Classification from AI4Arctic Dataset Based On Regional Loss Representations
Author:
Affiliation:
1. South China University of Technology,Guangzhou,China
2. University of Waterloo,Waterloo,Canada
3. Memorial University of Newfoundland,St John’s,Canada
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx8/10640349/10640352/10642258.pdf?arnumber=10642258
Reference12 articles.
1. A Meta-Analysis of Sea Ice Monitoring Using Spaceborne Polarimetric SAR: Advances in the Last Decade
2. AI4SeaIce: Toward Solving Ambiguous SAR Textures in Convolutional Neural Networks for Automatic Sea Ice Concentration Charting
3. Classification of Sea Ice Types in Sentinel-1 SAR Data Using Convolutional Neural Networks
4. Eastern Arctic Sea Ice Sensing: First Results from the RADARSAT Constellation Mission Data
5. Sea ice classification with dual-polarized SAR imagery: a hierarchical pipeline
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