Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-like Imagery with Uncertainty.
- DOI
- 10.1109/jstars.2022.3231380
- Published
- 2023
- Container
- IEEE journal of selected topics in applied earth observations and remote sensing
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1109/jstars.2022.3231380,
title = {Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-like Imagery with Uncertainty.},
author = {Morata M and Siegmann B and Pérez-Suay A and García-Soria JL and Rivera-Caicedo JP and Verrelst J},
year = {2023},
journal = {IEEE journal of selected topics in applied earth observations and remote sensing},
doi = {10.1109/jstars.2022.3231380},
url = {https://doi.org/10.1109/jstars.2022.3231380}
}RIS
TY - JOUR TI - Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-like Imagery with Uncertainty. AU - Morata M AU - Siegmann B AU - Pérez-Suay A AU - García-Soria JL AU - Rivera-Caicedo JP AU - Verrelst J PY - 2023 JO - IEEE journal of selected topics in applied earth observations and remote sensing DO - 10.1109/jstars.2022.3231380 UR - https://doi.org/10.1109/jstars.2022.3231380 ER -
APA
M, M., B, S., A, P., JL, G., JP, R., & J, V. (2023). Neural Network Emulation of Synthetic Hyperspectral Sentinel-2-like Imagery with Uncertainty.. IEEE journal of selected topics in applied earth observations and remote sensing. https://doi.org/10.1109/jstars.2022.3231380
Source records
- pubmed · retrieved 2026-11-10T20:35:08.482Z