1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2025
Comparison Study: Glacier Calving Front Delineation in Synthetic Aperture Radar Images With Deep Learning
Nora Gourmelon, Konrad Heidler, Erik Loebel +12
Continuous monitoring of glacier calving fronts is essential for sea level rise projections. This study benchmarks Deep Learning systems for front delineation in Synthetic Aperture…
cs.CV2023★ 1 cited
A Deep Active Contour Model for Delineating Glacier Calving Fronts
Konrad Heidler, Lichao Mou, Erik Loebel +3
Choosing how to encode a real-world problem as a machine learning task is an important design decision in machine learning. The task of glacier calving front modeling has often bee…