| 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 | 143 | 2021 |
| 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 | 55 | 2021 |
| 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 | 49 | 2023 |
| On the foundations of earth and climate foundation models XX Zhu, Z Xiong, Y Wang, AJ Stewart, K Heidler, Y Wang, Z Yuan, ... arXiv preprint arXiv:2405.04285, 2024 | 22 | 2024 |
| 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 | 22 | 2021 |
| 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 | 21 | 2023 |
| 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 | 19 | 2022 |
| 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 | 16* | 2023 |
| A deep active contour model for delineating glacier calving fronts K Heidler, L Mou, E Loebel, M Scheinert, S Lefèvre, XX Zhu IEEE Transactions on Geoscience and Remote Sensing 61, 1-12, 2023 | 12 | 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 | 8 | 2023 |
| A high-resolution calving front data product for marine-terminating glaciers in Svalbard T Li, K Heidler, L Mou, Á Ignéczi, XX Zhu, JL Bamber Earth System Science Data Discussions 2023, 1-28, 2023 | 5 | 2023 |
| 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 | 5 | 2021 |
| IceLines–A new data set of Antarctic ice shelf front positions, Sci CA Baumhoer, AJ Dietz, K Heidler, C Kuenzer Data 10 (138), 10.1038, 0 | 4 | |
| Machine learning for methane detection and quantification from space-a survey E Tiemann, S Zhou, A Kläser, K Heidler, R Schneider, XX Zhu arXiv preprint arXiv:2408.15122, 2024 | 3 | 2024 |
| 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 | 3 | 2019 |
| Manually delineated glacier calving front locations of 27 marine-terminating glaciers from 2013 to 2021 E Loebel, M Scheinert, M Horwath, A Humbert, J Sohn, K Heidler, ... Technische Universität Dresden, 2024 | 2 | 2024 |
| PixelDINO: Semi-Supervised Semantic Segmentation for Detecting Permafrost Disturbances in the Arctic K Heidler, I Nitze, G Grosse, XX Zhu IEEE Transactions on Geoscience and Remote Sensing, 2024 | 1 | 2024 |
| Deep Learning-Based Gnss-R Global Vegetation Water Content: Dataset, Estimation, and Uncertainty D Zhao, M Asgarimehr, K Heidler, J Wickert, XX Zhu, L Mou Estimation, and Uncertainty, 2024 | 1 | 2024 |
| 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 | 1 | 2022 |
| 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 | 1 | 2021 |
Lichao MouGerman Aerospace Center (DLR), Technical University of Munich (TUM)Potvrđena adresa e-pošte na dlr.de