Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder
- DOI
- 10.1109/tgrs.2021.3098008
- Published
- 2022
- Container
- IEEE Transactions on Geoscience and Remote Sensing
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Open access
- unknown
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Cite this work
BibTeX
@article{allodium:10.1109/tgrs.2021.3098008,
title = {Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder},
author = {Takuya Kurihana and Elisabeth Moyer and Rebecca Willett and Davis Gilton and Ian Foster},
year = {2022},
journal = {IEEE Transactions on Geoscience and Remote Sensing},
doi = {10.1109/tgrs.2021.3098008},
url = {https://doi.org/10.1109/tgrs.2021.3098008}
}RIS
TY - JOUR TI - Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder AU - Takuya Kurihana AU - Elisabeth Moyer AU - Rebecca Willett AU - Davis Gilton AU - Ian Foster PY - 2022 JO - IEEE Transactions on Geoscience and Remote Sensing DO - 10.1109/tgrs.2021.3098008 UR - https://doi.org/10.1109/tgrs.2021.3098008 ER -
APA
Kurihana, T., Moyer, E., Willett, R., Gilton, D., & Foster, I. (2022). Data-Driven Cloud Clustering via a Rotationally Invariant Autoencoder. IEEE Transactions on Geoscience and Remote Sensing. https://doi.org/10.1109/tgrs.2021.3098008
Source records
- crossref · retrieved 2026-09-25T23:34:00.845Z