Identification and Mapping of Individual Trees from Unmanned Aerial Vehicle Imagery Using an Object-Based Convolutional Neural Network
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Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s41976-024-00117-z.pdf
Reference27 articles.
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3. Peña JM et al (2013) Weed mapping in early-season maize fields using object-based analysis of unmanned aerial vehicle (UAV) images. PLoS ONE 8(10):1–11. https://doi.org/10.1371/journal.pone.0077151
4. Malek S et al (2014) Efficient framework for palm tree detection in UAV images. IEEE J Select Topics Appl Earth Observ Remote Sens 7(12):4692–4703. https://doi.org/10.1109/JSTARS.2014.2331425
5. Torres-Sánchez J et al (2015) High-throughput 3-D monitoring of agricultural-tree plantations with unmanned aerial vehicle (UAV) technology. PLoS ONE 10(6):1–20. https://doi.org/10.1371/journal.pone.0130479
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