Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN.
- DOI
- 10.3390/s21051617
- Published
- 2021 Feb 25
- Container
- Sensors (Basel, Switzerland)
- Publisher
- Not recorded
- Open access
- yes
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Cite this work
BibTeX
@article{allodium:10.3390/s21051617,
title = {Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN.},
author = {Safonova A and Guirado E and Maglinets Y and Alcaraz-Segura D and Tabik S},
year = {2021},
journal = {Sensors (Basel, Switzerland)},
doi = {10.3390/s21051617},
url = {https://doi.org/10.3390/s21051617}
}RIS
TY - JOUR TI - Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN. AU - Safonova A AU - Guirado E AU - Maglinets Y AU - Alcaraz-Segura D AU - Tabik S PY - 2021 JO - Sensors (Basel, Switzerland) DO - 10.3390/s21051617 UR - https://doi.org/10.3390/s21051617 ER -
APA
A, S., E, G., Y, M., D, A., & S, T. (2021). Olive Tree Biovolume from UAV Multi-Resolution Image Segmentation with Mask R-CNN.. Sensors (Basel, Switzerland). https://doi.org/10.3390/s21051617
Source records
- pubmed · retrieved 2026-09-26T00:06:24.914Z