Dr. Thorsten Seehaus

Professur für Geographie (Fernerkundung und GIS) Institut für Geographie

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 The West Kunlun Glacier Anomaly and Its Response to Climate Forcing during 2002–2020 (2022) Luo J, Ke CQ, Seehaus T Journal article A Self-Trained Model for Cloud, Shadow and Snow Detection in Sentinel-2 Images of Snow- and Ice-Covered Regions (2022) Nambiar KG, Morgenshtern V, Hochreuther P, Seehaus T, Braun M Journal article How to Get the Most Out of U-Net for Glacier Calving Front Segmentation (2022) Periyasamy M, Davari A, Seehaus T, Braun M, Maier A, Christlein V Journal article Brief communication: Increased glacier mass loss in the Russian High Arctic (2010-2017) (2022) Sommer C, Seehaus T, Glazovsky A, Braun M Journal article, Original article Dissecting Glaciers - Can an Automated Bio-Medical Image Segmentation Tool also Segment Glaciers? (2022) Gourmelon N, Seehaus T, Braun M, Maier A, Christlein V Conference contribution, Abstract of lecture Pixel-wise Distance Regression for Glacier Calving Front Detection and Segmentation (2022) Davari A, Baller C, Seehaus T, Braun M, Maier A, Christlein V Journal article Synthetic Glacier SAR Image Generation from Arbitrary Masks Using Pix2Pix Algorithm (2021) Dietrich-Sussner R, Davari A, Seehaus T, Braun M, Christlein V, Maier A, Rieß C Conference contribution, Original article Bayesian U-Net for Segmenting Glaciers in Sar Imagery (2021) Hartmann A, Davari A, Seehaus T, Braun M, Maier A, Christlein V Conference contribution, Original article Glacier Calving Front Segmentation Using Attention U-Net (2021) Holzmann M, Davari A, Seehaus T, Braun M, Maier A, Christlein V Conference contribution, Original article