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Konrad Heidler
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HED-UNet: Combined segmentation and edge detection for monitoring the Antarctic coastline
K Heidler, L Mou, C Baumhoer, A Dietz, XX Zhu
IEEE Transactions on Geoscience and Remote Sensing 60, 1-14, 2021
572021
Self-supervised audiovisual representation learning for remote sensing data
K Heidler, L Mou, D Hu, P Jin, G Li, C Gan, JR Wen, XX Zhu
International Journal of Applied Earth Observation and Geoinformation 116 …, 2023
192023
Developing and testing a deep learning approach for mapping retrogressive thaw slumps
I Nitze, K Heidler, S Barth, G Grosse
Remote Sensing 13 (21), 4294, 2021
172021
Aerial scene understanding in the wild: Multi-scene recognition via prototype-based memory networks
Y Hua, L Mou, J Lin, K Heidler, XX Zhu
ISPRS Journal of Photogrammetry and Remote Sensing 177, 89-102, 2021
112021
Remote sensing for assessing drought insurance claims in central europe
K Heidler, A Fietzke
IGARSS 2019-2019 IEEE International Geoscience and Remote Sensing Symposium …, 2019
32019
Extracting Glacier Calving Fronts by Deep Learning: The Benefit of Multispectral, Topographic, and Textural Input Features
E Loebel, M Scheinert, M Horwath, K Heidler, J Christmann, LD Phan, ...
IEEE Transactions on Geoscience and Remote Sensing 60, 1-12, 2022
22022
Seeing the bigger picture: Enabling large context Windows in neural networks by combining multiple zoom levels
K Heidler, L Mou, XX Zhu
2021 IEEE International Geoscience and Remote Sensing Symposium IGARSS, 3033 …, 2021
22021
Deep Active Contour Models for Delineating Glacier Calving Fronts
K Heidler, L Mou, E Loebel, M Scheinert, S Lefèvre, XX Zhu
IGARSS 2022-2022 IEEE International Geoscience and Remote Sensing Symposium …, 2022
12022
Evaluating a deep-learning approach for mapping retrogressive thaw slumps across the Arctic
I Nitze, K Heidler, S Barth, A Targowicka, G Grosse
AGU Fall Meeting Abstracts 2021, B51B-05, 2021
12021
DDM-Former: Transformer networks for GNSS reflectometry global ocean wind speed estimation
D Zhao, K Heidler, M Asgarimehr, C Arnold, T Xiao, J Wickert, XX Zhu, ...
Remote Sensing of Environment 294, 113629, 2023
2023
Calving front monitoring at sub-seasonal resolution: a deep learning application to Greenland glaciers
E Loebel, M Scheinert, M Horwath, A Humbert, J Sohn, K Heidler, ...
The Cryosphere Discussions 2023, 1-21, 2023
2023
IceLines–A new data set of Antarctic ice shelf front positions
CA Baumhoer, AJ Dietz, K Heidler, C Kuenzer
Scientific Data 10 (1), 138, 2023
2023
Towards pan-Arctic glacier calving front variability with deep learning
T Li, K Heidler, L Mou, A Igneczi, X Zhu, J Bamber
EGU23, 2023
2023
Data product of Greenland glacier calving front locations delineated by deep learning, 2013 to 2021
E Loebel, M Scheinert, M Horwath, A Humbert, J Sohn, K Heidler, ...
Technische Universität Dresden, 2023
2023
Towards a Deep-Learning based Inventory of Retrogressive Thaw Slumps across the Arctic
I Nitze, K Heidler, S Barth, G Grosse, P Bernhard
AGU Fall Meeting Abstracts 2022, C52B-01, 2022
2022
Deep Learning for mapping retrogressive thaw slumps across the Arctic
I Nitze, K Heidler, S Barth, G Grosse
2022
Deep learning for mapping retrogressive thaw slumps and landslides across the Arctic permafrost domain
I Nitze, K Heidler, S Barth, G Grosse
2022
IceLines-A new service to monitor Antarctic ice shelf front dynamics
CA Baumhoer, AJ Dietz, K Heidler, C Kuenzer
EGU General Assembly Conference Abstracts, EGU22-3402, 2022
2022
Manually delineated glacier calving fronts of 23 Greenland and 2 Antarctic outlet glaciers from 2013 to 2021 and source code for automated extraction by deep learning
E Loebel, M Scheinert, M Horwath, K Heidler, J Christmann, LD Phan, ...
Technische Universität Dresden, 2022
2022
The AI-CORE Project-Artificial Intelligence for Cold Regions
C Baumhoer, A Dietz, K Heidler, XX Zhu, M Scheinert, E Loebel, I Nitze, ...
2022
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