Bagging and Boosting Ensemble Classifiers for Classification of Multispectral, Hyperspectral and PolSAR Data: A Comparative Evaluation

In recent years, several powerful machine learning (ML) algorithms have been developed for image classification, especially those based on ensemble learning (EL). In particular, Extreme Gradient Boosting (XGBoost) and Light Gradient Boosting Machine (LightGBM) methods have attracted researchers’ att...

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Bibliographic Details

Published in:	Remote Sensing
Main Authors:	Hamid Jafarzadeh, Masoud Mahdianpari, Eric Gill, Fariba Mohammadimanesh, Saeid Homayouni
Format:	Article
Language:	English
Published:	MDPI AG 2021-11-01
Subjects:	classification ensemble classifier bagging boosting multispectral hyperspectral
Online Access:	https://www.mdpi.com/2072-4292/13/21/4405