Performance Evaluation of Cluster Validity Indices (CVIs) on Multi/Hyperspectral Remote Sensing Datasets

Performance Evaluation of Cluster Validity Indices (CVIs) on Multi/Hyperspectral Remote Sensing Datasets

The number of clusters (i.e., the number of classes) for unsupervised classification has been recognized as an important part of remote sensing image clustering analysis. The number of classes is usually determined by cluster validity indices (CVIs). Although many CVIs have been proposed, few studie...

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Bibliographic Details
Main Authors: Huapeng Li, Shuqing Zhang, Xiaohui Ding, Ce Zhang, Patricia Dale
Format: Article
Language:English
Published: MDPI AG 2016-03-01
Series:Remote Sensing
Subjects:
cluster validity index
remote sensing
image clustering
cluster number of image
Online Access:http://www.mdpi.com/2072-4292/8/4/295

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