U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery

Jacquelyn Shelton, Przemyslaw Polewski, Wei Yao 0008. U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery. In Duncan Watson-Parris, Anastase Alexandre Charantonis, editors, CI 2020: 10th International Conference on Climate Informatics, Virtual Event, Oxford, UK, September 23-25, 2020. pages 128-133, ACM, 2020. [doi]

@inproceedings{SheltonP020,
  title = {U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery},
  author = {Jacquelyn Shelton and Przemyslaw Polewski and Wei Yao 0008},
  year = {2020},
  doi = {10.1145/3429309.3429328},
  url = {https://doi.org/10.1145/3429309.3429328},
  researchr = {https://researchr.org/publication/SheltonP020},
  cites = {0},
  citedby = {0},
  pages = {128-133},
  booktitle = {CI 2020: 10th International Conference on Climate Informatics, Virtual Event, Oxford, UK, September 23-25, 2020},
  editor = {Duncan Watson-Parris and Anastase Alexandre Charantonis},
  publisher = {ACM},
  isbn = {978-1-4503-8848-1},
}