Deep learning systems for glacier calving front delineation in SAR imagery exhibit errors up to 221 m while human annotators deviate by only 38 m.
An automated, general- ized, deep-learning-based method for delineating the calving fronts of greenland glaciers from multi-sensor remote sensing imagery
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Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning
Deep learning systems for glacier calving front delineation in SAR imagery exhibit errors up to 221 m while human annotators deviate by only 38 m.