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Calving Front Delineation In Synthetic Aperture Radar Imagery With Fixed Training Amount

Delineating the calving front of a marine-terminating glacier in synthetic aperture radar (SAR) imagery. This can, for example, be done through Semantic Segmentation. For this task, the CaFFe dataset set (https://paperswithcode.com/dataset/caffe) needs to be used. Moreover, the epoch number needs to be fixed to an amount such that each network sees 150 times the number of pixels in CaFFe's training set.

Papers

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TitleStatusHype
AMD-HookNet for Glacier Front SegmentationCode0
Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture radar imageryCode0
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