A New Approach to Band Clustering and Selection for Hyperspectral Imagery

被引：0
|
作者：
ul Haq, Ihsan [1 ]
Xu, Xiaojian [1 ]
机构：
[1] BeiHang Univ, Sch Elect Informat Engn, Beijing 100083, Peoples R China
来源：
ICSP: 2008 9TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING, VOLS 1-5, PROCEEDINGS | 2008年
关键词：
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper a new approach for band selection is introduced based on statistical and geometrical characteristics of band images, where the basic idea is to measure the spread of image data in each band and then clustering the bands in such a way to keep intracluster variance minimum and intercluster variance maximum. For optimal number of bands to be selected, recently developed concept of virtual dimensionality (VD) is used. For endmember extraction, vertex component analysis (VCA) is used. A comparative study is conducted to show the effectiveness of the new approach with other unsupervised band selection methods.
引用
收藏
页码：1199 / 1203
页数：5
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