Generating virtual training labels for crop classification from fused Sentinel-1 and Sentinel-2 Time Series
- DOI
- 10.1007/s41064-023-00256
- Published
- 2023
- Container
- PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science
- Publisher
- Not recorded
- Open access
- no
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Cite this work
BibTeX
@article{allodium:10.1007/s41064-023-00256,
title = {Generating virtual training labels for crop classification from fused Sentinel-1 and Sentinel-2 Time Series},
author = {Maryam Teimouri and Mehdi Mokhtarzade and Nicolas Baghdadi and Christian Heipke},
year = {2023},
journal = {PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science},
doi = {10.1007/s41064-023-00256},
url = {https://doi.org/10.1007/s41064-023-00256}
}RIS
TY - JOUR TI - Generating virtual training labels for crop classification from fused Sentinel-1 and Sentinel-2 Time Series AU - Maryam Teimouri AU - Mehdi Mokhtarzade AU - Nicolas Baghdadi AU - Christian Heipke PY - 2023 JO - PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science DO - 10.1007/s41064-023-00256 UR - https://doi.org/10.1007/s41064-023-00256 ER -
APA
Teimouri, M., Mokhtarzade, M., Baghdadi, N., & Heipke, C. (2023). Generating virtual training labels for crop classification from fused Sentinel-1 and Sentinel-2 Time Series. PFG - Journal of Photogrammetry, Remote Sensing and Geoinformation Science. https://doi.org/10.1007/s41064-023-00256
Source records
- hal · retrieved 2026-09-27T02:47:19.255Z