Evaluation of SAR and Optical Image Fusion Methods in Oil Palm Crop Cover Classification Using the Random Forest Algorithm

Evaluation of SAR and Optical Image Fusion Methods in Oil Palm Crop Cover Classification Using the Random Forest Algorithm

This paper presents an evaluation of land cover accuracy, particularly regarding oil palm crop cover, using optical/synthetic aperture radar (SAR) image fusion methods through the implementation of the random forest (RF) algorithm on cloud computing platforms using Sentinel-1 SAR and Sentinel-2 opti...

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Bibliographic Details
Main Authors: Jose Manuel Monsalve-Tellez, Jorge Luis Torres-León, Yeison Alberto Garcés-Gómez
Format: Article
Language:English
Published: MDPI AG 2022-07-01
Series:Agriculture
Subjects:
image fusion
random forest (RF)
land cover classification
cloud computing
synthetic aperture radar (SAR)
optical images
Online Access:https://www.mdpi.com/2077-0472/12/7/955

Internet

https://www.mdpi.com/2077-0472/12/7/955

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