End-to-End Learning of Variational Interpolation Schemes for Satellite-Derived SSH Data

Maxime Beauchamp, Mohamed Mahmoud Amar, Quentin Febvre, Ronan Fablet. End-to-End Learning of Variational Interpolation Schemes for Satellite-Derived SSH Data. In IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021. pages 7418-7421, IEEE, 2021. [doi]

@inproceedings{BeauchampAFF21,
  title = {End-to-End Learning of Variational Interpolation Schemes for Satellite-Derived SSH Data},
  author = {Maxime Beauchamp and Mohamed Mahmoud Amar and Quentin Febvre and Ronan Fablet},
  year = {2021},
  doi = {10.1109/IGARSS47720.2021.9554800},
  url = {https://doi.org/10.1109/IGARSS47720.2021.9554800},
  researchr = {https://researchr.org/publication/BeauchampAFF21},
  cites = {0},
  citedby = {0},
  pages = {7418-7421},
  booktitle = {IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2021, Brussels, Belgium, July 11-16, 2021},
  publisher = {IEEE},
  isbn = {978-1-6654-0369-6},
}