A Novel Double Ensemble Algorithm for the Classification of Multi-Class Imbalanced Hyperspectral Data

A Novel Double Ensemble Algorithm for the Classification of Multi-Class Imbalanced Hyperspectral Data

The class imbalance problem has been reported to exist in remote sensing and hinders the classification performance of many machine learning algorithms. Several technologies, such as data sampling methods, feature selection-based methods, and ensemble-based methods, have been proposed to solve the c...

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Bibliographic Details
Main Authors: Daying Quan, Wei Feng, Gabriel Dauphin, Xiaofeng Wang, Wenjiang Huang, Mengdao Xing
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Remote Sensing
Subjects:
classification
remote sensing
hyperspectral image
imbalance learning
data sampling
Online Access:https://www.mdpi.com/2072-4292/14/15/3765

Internet

https://www.mdpi.com/2072-4292/14/15/3765

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