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

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

1 Citation (Scopus)

Original language	English
Title of host publication	CI2020: Proceedings of the 10th International Conference on Climate Informatics
Pages	128
Number of pages	133
DOIs	https://doi.org/10.1145/3429309.3429328
Publication status	Published - Dec 2020

More information

@inproceedings{64cb9ffe7c5d43079f69269cc5c8e995,

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

author = "Shelton, \{Jacquelyn Ann\} and Polewski, \{Przemyslaw Piotr\} and Wei Yao",

year = "2020",

month = dec,

doi = "10.1145/3429309.3429328",

language = "English",

pages = "128",

booktitle = "CI2020: Proceedings of the 10th International Conference on Climate Informatics",

}

U-net for learning and inference of dense representation of multiple air pollutants from satellite imagery. / Shelton, Jacquelyn Ann; Polewski, Przemyslaw Piotr; Yao, Wei.
CI2020: Proceedings of the 10th International Conference on Climate Informatics. 2020. p. 128.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

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AU - Yao, Wei

PY - 2020/12

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U2 - 10.1145/3429309.3429328

DO - 10.1145/3429309.3429328

M3 - Conference article published in proceeding or book

SP - 128

BT - CI2020: Proceedings of the 10th International Conference on Climate Informatics

ER -