Citations refer to the original publication, not to a Scieee localized version.
García Gutiérrez, J., González Ferreiro, E., Mateos García, D., & Riquelme Santos, J. C. (2016). A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation. Springer. https://doi.org/10.1007/978-3-319-32034-2_49
García Gutiérrez, Jorge, et al. A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation. Springer, 2016. https://doi.org/10.1007/978-3-319-32034-2_49.
García Gutiérrez, Jorge, Eduardo González Ferreiro, Daniel Mateos García, and José Cristóbal Riquelme Santos. A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation. Springer, 2016. https://doi.org/10.1007/978-3-319-32034-2_49.
García Gutiérrez, J. et al. (2016) A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation. Springer. Available at: https://doi.org/10.1007/978-3-319-32034-2_49.
J. García Gutiérrez, E. González Ferreiro, D. Mateos García, and J. C. Riquelme Santos, “A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation,” Springer, 2016, doi: 10.1007/978-3-319-32034-2_49.
@misc{garciagutierrez2016preliminary,
author = {García Gutiérrez, Jorge and González Ferreiro, Eduardo and Mateos García, Daniel and Riquelme Santos, José Cristóbal},
title = {A Preliminary Study of the Suitability of Deep Learning to Improve LiDAR-Derived Biomass Estimation},
year = {2016},
publisher = {Springer},
doi = {10.1007/978-3-319-32034-2_49},
url = {https://doi.org/10.1007/978-3-319-32034-2_49}
}
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