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Interpretation of Structures in Polar Regions with Deep Learning Methods

Dissertation Companion Website

Publications

HED-UNet: Combined segmentation and edge detection for monitoring the antarctic coastline ↗ ↖
Project page summarising the project
A deep active contour model for delineating glacier calving fronts ↗ ↖
Project page with animated inference examples and an interactive map of the test set predictions.
A High-Resolution Calving Front Data Product for Marine-Terminating Glaciers in Svalbard ↗ ↖
Interactive map showing all derived glacier frontlines
Developing and Testing a Deep Learning Approach for Mapping Retrogressive Thaw Slumps ↗ ↖
Interactive map of the RTS footprints for the different study sites
PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances ↗ ↖
Project page summarising the project