Comparison and assessment of different object-based classifications using machine learning algorithms and UAVs multispectral imagery: a case study in a citrus orchard and an onion crop

Comparison and assessment of different object-based classifications using machine learning algorithms and UAVs multispectral imagery: a case study in a citrus orchard and an onion crop

This study aimed to compare and assess different Geographic Object-Based Image Analysis (GEOBIA) and machine learning algorithms using unmanned aerial vehicles (UAVs) multispectral imagery. Two study sites were provided, a bergamot and an onion crop located in Calabria (Italy). The Large-Scale Mean-...

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Bibliographic Details
Main Authors: Giuseppe Modica, Giandomenico De Luca, Gaetano Messina, Salvatore Praticò
Format: Article
Language:English
Published: Taylor & Francis Group 2021-01-01
Series:European Journal of Remote Sensing
Subjects:
precision agriculture (pa)
geographic object-based image analysis (geobia)
segmentation and classification accuracy assessment
orfeo toolbox (otb)
rgislib and scikit-learn
ecognition
Online Access:http://dx.doi.org/10.1080/22797254.2021.1951623

Internet

http://dx.doi.org/10.1080/22797254.2021.1951623

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