International Doctoral Program: Measuring and Modelling Mountain glaciers and ice caps in a Changing Climate (M³OCCA) (MOCCA)
Third party funded individual grant
Acronym:
MOCCA
Start date :
01.06.2022
End date :
31.05.2026
Out-of-the-box Calving Front Detection Method Using Deep Learning (2023)
Herrmann O, Gourmelon N, Seehaus T, Maier A, Fürst J, Braun M, Christlein V
Journal article, Original article
CaFFe - a Benchmark Dataset for Glacier Calving Front Extraction from Synthetic Aperture Radar Imagery (2023)
Gourmelon N, Seehaus T, Klink J, Braun M, Maier A, Christlein V
Conference contribution, Conference Contribution
Conditional Random Fields for Improving Deep Learning-based Glacier Calving Front Delineations (2023)
Gourmelon N, Klink J, Seehaus T, Braun M, Maier A, Christlein V
Conference contribution, Conference Contribution
AMD-HookNet for Glacier Front Segmentation (2023)
Wu F, Gourmelon N, Seehaus T, Zhang J, Braun M, Maier A, Christlein V
Journal article, Original article
Comparability of Deep Learning Techniques for Calving Front Segmentation in SAR Imagery (2023)
Gourmelon N, Seehaus T, Braun M, Maier A, Christlein V
Conference contribution, Abstract of lecture
Calving fronts and where to find them: a benchmark dataset and methodology for automatic glacier calving front extraction from synthetic aperture radar imagery (2022)
Gourmelon N, Seehaus T, Braun M, Maier A, Christlein V
Journal article, Original article