Comparison of unsupervised band selection methods for hyperspectral imaging

被引：0
|
作者：
Martinez-Uso, Adolfo [1 ]
Pla, Filiberto [1 ]
Sotoca, Jose M. [1 ]
Garcia-Sevilla, Pedro [1 ]
机构：
[1] Jaume I Univ, Dept Lenguajes & Sistemas Informat, Campus Riu Sec S-N, Castellon de La Plana 12071, Spain
来源：
PATTERN RECOGNITION AND IMAGE ANALYSIS, PT 1, PROCEEDINGS | 2007年 / 4477卷
关键词：
D O I：
暂无
中图分类号：
TP18 [人工智能理论];
学科分类号：
081104 ; 0812 ; 0835 ; 1405 ;
摘要：
Different methods have been proposed in order to deal with the huge amount of information that hyperspectral applications involve. This paper presents a comparison of some of the methods proposed for band selection. A relevant and recent set of methods have been selected that cover the main tendencies in this field. Moreover, a variant of an existing method is also introduced in this work. The comparison criterion used is based on pixel classification tasks.
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页码：30 / +
页数：3
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