Improving Land Use/Cover Classification with a Multiple Classifier System Using AdaBoost Integration Technique

Improving Land Use/Cover Classification with a Multiple Classifier System Using AdaBoost Integration Technique

Guangzhou has experienced a rapid urbanization since 1978 when China initiated the economic reform, resulting in significant land use/cover changes (LUC). To produce a time series of accurate LUC dataset that can be used to study urbanization and its impacts, Landsat imagery was used to map LUC chan...

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Bibliographic Details
Main Authors: Yangbo Chen, Peng Dou, Xiaojun Yang
Format: Article
Language:English
Published: MDPI AG 2017-10-01
Series:Remote Sensing
Subjects:
multiple classifiers system (MCS)
AdaBoost
remote sensing
classification algorithms
Online Access:https://www.mdpi.com/2072-4292/9/10/1055

Internet

https://www.mdpi.com/2072-4292/9/10/1055

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