OpenSARUrban: A Sentinel-1 SAR Image Dataset for Urban Interpretation
- DOI
- 10.1109/jstars.2019.2954850
- Published
- 2020
- Container
- IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Publisher
- Not recorded
- Open access
- yes
Credibility signals
uncertain Score 53/100 under policy 1.0.0. This is a metadata assessment, not a judgment of the paper's conclusions.
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Cite this work
BibTeX
@article{allodium:10.1109/jstars.2019.2954850,
title = {OpenSARUrban: A Sentinel-1 SAR Image Dataset for Urban Interpretation},
author = {Juanping Zhao and Zenghui Zhang and Wei Yao and Mihai Datcu and Huilin Xiong and Wenxian Yu},
year = {2020},
journal = {IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
doi = {10.1109/jstars.2019.2954850},
url = {https://doi.org/10.1109/jstars.2019.2954850}
}RIS
TY - JOUR TI - OpenSARUrban: A Sentinel-1 SAR Image Dataset for Urban Interpretation AU - Juanping Zhao AU - Zenghui Zhang AU - Wei Yao AU - Mihai Datcu AU - Huilin Xiong AU - Wenxian Yu PY - 2020 JO - IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing DO - 10.1109/jstars.2019.2954850 UR - https://doi.org/10.1109/jstars.2019.2954850 ER -
APA
Zhao, J., Zhang, Z., Yao, W., Datcu, M., Xiong, H., & Yu, W. (2020). OpenSARUrban: A Sentinel-1 SAR Image Dataset for Urban Interpretation. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. https://doi.org/10.1109/jstars.2019.2954850
Source records
- doaj · retrieved 2026-09-26T03:32:19.640Z