Dr. Thorsten Seehaus

Professur für Geographie (Fernerkundung und GIS) Institut für Geographie

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 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