11 citations · 18 across the 6 of their papers we have counts for
5 papers · 1 filter
Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation
Amirabbas Davari, Christoph Baller, Thorsten Seehaus +3
Glacier calving front position (CFP) is an important glaciological variable. Traditionally, delineating the CFPs has been carried out manually, which was subjective, tedious and ex…
On Mathews Correlation Coefficient and Improved Distance Map Loss for Automatic Glacier Calving Front Segmentation in SAR Imagery
Amirabbas Davari, Saahil Islam, Thorsten Seehaus +3
The vast majority of the outlet glaciers and ice streams of the polar ice sheets end in the ocean. Ice mass loss via calving of the glaciers into the ocean has increased over the l…
Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm
Rosanna Dietrich-Sussner, Amirabbas Davari, Thorsten Seehaus +4
Supervised machine learning requires a large amount of labeled data to achieve proper test results. However, generating accurately labeled segmentation maps on remote sensing image…
Glacier Calving Front Segmentation Using Attention U-Net
Michael Holzmann, Amirabbas Davari, Thorsten Seehaus +3
An essential climate variable to determine the tidewater glacier status is the location of the calving front position and the separation of seasonal variability from long-term tren…
Bayesian U-Net for Segmenting Glaciers in SAR Imagery
Andreas Hartmann, Amirabbas Davari, Thorsten Seehaus +3
Fluctuations of the glacier calving front have an important influence over the ice flow of whole glacier systems. It is therefore important to precisely monitor the position of the…