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.
In binary front segmentation, the predicted fronts in the majority of images only cover parts of the ground truth, and many additional false positive fronts are predicted [12]
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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.