Mask R-CNN based automated identification and extraction of oil well sites
- DOI
- 10.1016/j.jag.2022.102875
- Published
- 08
- Container
- International Journal of Applied Earth Observations and Geoinformation
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.1016/j.jag.2022.102875,
title = {Mask R-CNN based automated identification and extraction of oil well sites},
author = {Hongjie He and Hongzhang Xu and Ying Zhang and Kyle Gao and Huxiong Li and Lingfei Ma and Jonathan Li},
year = {2022},
journal = {International Journal of Applied Earth Observations and Geoinformation},
doi = {10.1016/j.jag.2022.102875},
url = {https://doi.org/10.1016/j.jag.2022.102875}
}RIS
TY - JOUR TI - Mask R-CNN based automated identification and extraction of oil well sites AU - Hongjie He AU - Hongzhang Xu AU - Ying Zhang AU - Kyle Gao AU - Huxiong Li AU - Lingfei Ma AU - Jonathan Li PY - 2022 JO - International Journal of Applied Earth Observations and Geoinformation DO - 10.1016/j.jag.2022.102875 UR - https://doi.org/10.1016/j.jag.2022.102875 ER -
APA
He, H., Xu, H., Zhang, Y., Gao, K., Li, H., Ma, L., & Li, J. (2022). Mask R-CNN based automated identification and extraction of oil well sites. International Journal of Applied Earth Observations and Geoinformation. https://doi.org/10.1016/j.jag.2022.102875
Source records
- doaj · retrieved 2026-09-25T18:47:45.097Z