Daixin Zhao, Konrad Heidler, Milad Asgarimehr, Caroline Arnold, Tianqi Xiao, Jens Wickert, Xiao Xiang Zhu, Lichao Mou
If our work is useful and helpful for your research, please use the following BibTeX entry.
@article{zhao2023ddmformer,
title = {DDM-Former: Transformer networks for GNSS reflectometry global ocean wind speed estimation},
author = {Zhao, Daixin and Heidler, Konrad and Asgarimehr, Milad and Arnold, Caroline and Xiao, Tianqi and Wickert, Jens and Zhu, Xiao Xiang and Mou, Lichao},
journal = {Remote Sensing of Environment},
volume = {294},
pages = {113629},
year = {2023},
issn = {0034-4257},
doi = {https://doi.org/10.1016/j.rse.2023.113629},
url = {https://www.sciencedirect.com/science/article/pii/S0034425723001803}
}
The model is licensed under the Apache 2.0 license.