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Sea ice and water classification for SWOT wide-swath observations using combined unsupervised and supervised machine learning
- “The SWOT satellite has achieved the first polar sea ice wide cutting height measurement. Researchers have proposed an ice water classification method for SWOT wide cutting observation data, which optimizes labels through unsupervised machine learning and constructs a multi feature supervised model. The classification accuracy reaches 95%, opening up a new direction for sea ice thickness inversion research.”
- Vol. 30, Issue 10, Pages: 3149-3169(2026)
DOI:10.11834/jrs.20265521
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