A 200m pan-Arctic sea ice concentration model using a Bayesian Transformer with a geographically-weighted weakly supervised loss; reported 0.70 feature detection accuracy and R²=0.90 vs ASI.
, author Lynch, H.J
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Geographically-Weighted Weakly Supervised Bayesian High-Resolution Transformer for 200m Resolution Pan-Arctic Sea Ice Concentration Mapping and Uncertainty Estimation using Sentinel-1, RCM, and AMSR2 Data
A 200m pan-Arctic sea ice concentration model using a Bayesian Transformer with a geographically-weighted weakly supervised loss; reported 0.70 feature detection accuracy and R²=0.90 vs ASI.