Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery

Comparison of Classification Algorithms and Training Sample Sizes in Urban Land Classification with Landsat Thematic Mapper Imagery

Although a large number of new image classification algorithms have been developed, they are rarely tested with the same classification task. In this research, with the same Landsat Thematic Mapper (TM) data set and the same classification scheme over Guangzhou City, China, we tested two unsupervi...

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Bibliographic Details
Main Authors: Congcong Li, Jie Wang, Lei Wang, Luanyun Hu, Peng Gong
Format: Article
Language:English
Published: MDPI AG 2014-01-01
Series:Remote Sensing
Subjects:
machine learning
maximum likelihood classification
logistic regression
support vector machine
tree classifiers
random forests
Online Access:http://www.mdpi.com/2072-4292/6/2/964

Internet

http://www.mdpi.com/2072-4292/6/2/964

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