Combining OBIA, CNN, and UAV imagery for automated detection and mapping of individual olive trees

Author:

Ameslek Oumaima,Zahir Hafida,Latifi Hanane,Bachaoui El Mostafa

Publisher

Elsevier BV

Reference29 articles.

1. Geographic object-based image analysis - towards a new paradigm;Addink;ISPRS J. Photogramm. Remote Sens.,2014

2. Alom, Md Zahangir et al. 2018. “The history began from AlexNet: a comprehensive survey on deep learning approaches.” http://www.mhlw.go.jp/new-info/kobetu/roudou/gyousei/anzen/dl/101004-3.pdf.

3. Estimation of Spinach (Spinacia Oleracea) seed yield with 2D UAV data and deep learning;Ariza-Sentís;Smart Agr. Technol.,2023

4. Monitoring and modeling of spatio-temporal urban expansion and land-use/land-cover change using markov chain model: a case study in Siliguri metropolitan area, West Bengal, India;Bose;Model. Earth Syst. Environ.,2020

5. High-resolution imagery acquired from an unmanned platform to estimate biophysical and geometrical parameters of olive trees under different irrigation regimes;Caruso;PLoS ONE,2019

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