Calving Front Delineation In Synthetic Aperture Radar Imagery With Fixed Training Amount
2 papers with code • 1 benchmarks • 1 datasets
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.
Benchmarks
These leaderboards are used to track progress in Calving Front Delineation In Synthetic Aperture Radar Imagery With Fixed Training Amount
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
CaFFe
Most implemented papers
Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture radar imagery
Nora-Go/Calving_Fronts_and_Where_to_Find_Them
•
•
Earth System Science Data 2022
It is the first dataset to provide long-term glacier calving front information from multi-mission data.
AMD-HookNet for Glacier Front Segmentation
are present in the data), which exacerbates the difficulty of accurate segmentation.
