| 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 | 6 | 2023 |
| Generating water level time series from satellite altimetry measurements for inland applications D Zhao Institute of Geodesy, University of Stuttgart, 2018 | 3 | 2018 |
| Explainable AI for GNSS Reflectometry: Investigating Feature Importance for Ocean Wind Speed Estimation T Xiao, M Asgarimehr, C Arnold, D Zhao, L Mou, J Wickert EGU24, 2024 | | 2024 |
| DDM-Former: Global Ocean Wind Speed Retrieval with Transformer Networks D Zhao, K Heidler, M Asgarimehr, C Arnold, T Xiao, J Wickert, XX Zhu, ... IGARSS 2023-2023 IEEE International Geoscience and Remote Sensing Symposium …, 2023 | | 2023 |
| Deep learning in spaceborne GNSS-R for ocean remote sensing: First insights from the AI4GNSSR project T Xiao, M Asgarimehr, C Arnold, D Zhao, L Mou, J Wickert EGU23, EGU23-14532, 2023 | | 2023 |
| Deep learning in spaceborne GNSS Reflectometry for Ocean Remote Sensing T Xiao, M Asgarimehr, C Arnold, D Zhao, L Mou, XX Zhu, J Wickert XXVIII General Assembly of the International Union of Geodesy and Geophysics …, 2023 | | 2023 |
| Deep learning for extreme wind speed prediction with CyGNSSnet C Arnold, D Zhao, T Xiao, L Mou, M Asgarimehr EGU General Assembly Conference Abstracts, EGU22-5003, 2022 | | 2022 |
| Deep learning in spaceborne GNSS-R: Recent methodologies and atmospheric products T Xiao, M Asgarimehr, C Arnold, D Zhao, T Weigel, L Mou, J Wickert EGU General Assembly Conference Abstracts, EGU22-8226, 2022 | | 2022 |
| Complementary Features Learning from RGB and Depth Information for Semantic Image Labelling L Chen, D Zhao, C Heipke Dreiländertagung der DGPF, der OVG und der SGPF 28 (Publikationen der DGPF …, 2019 | | 2019 |
