The Multi-Spectra Classification Algorithm Based on K-Means Clustering and Spectral Angle Cosine

doi:10.3964/j.issn.1000-0593(2011)05-1357-04

OPT OpenIR > 光谱成像技术研究室

	The Multi-Spectra Classification Algorithm Based on K-Means Clustering and Spectral Angle Cosine
其他题名	基于K-均值聚类与夹角余弦法的多光谱分类算法
	Wei Jun-xia 2,3; Xiangli Bin 1; Gao Xiao-hui2,3 ; Duan Xiao-feng 2
作者部门	光谱成像技术实验室
	2011-05-01
发表期刊	SPECTROSCOPY AND SPECTRAL ANALYSIS
ISSN	1000-0593
卷号	31 期号:5 页码:1357-1360
摘要	The classification and de-aliasing methods with respect to multi-spectra and hyper-spectra have been widely studied in recent years. And both K-mean clustering algorithm and spectral similarity algorithm are familiar classification methods. The present paper improved the K-mean clustering algorithm by using spectral similarity match algorithm to perform a new spectral classification algorithm. Two spectra with the farthest distance first were chosen as reference spectra. The Euclidean distance method or spectral angle cosine method then were used to classify data cube on the basis of the two reference spectra, and delete the spectra which belongs to the two reference spectra. The rest data cube was used to perform new classification according to a third spectrum, which is the farthest distance or the biggest angle one corresponding to the two reference spectra. Multi-spectral data cube was applied in the experimental test. The results of K-mean clustering classification by ENVI, compared with simulation results of the improved K-mean algorithm and the spectral angle cosine method, demonstrated that the latter two classify two air bubbles explicitly and effectively, and the improved K-mean algorithm classifies backgrounds better, especially the Euclidean distance method can classify the backgrounds integrally.
文章类型	Article
关键词	K-means Euclidean Distance Method Spectral Angle Cosine Method Multi-spectra
学科领域	Spectroscopy
WOS标题词	Science & Technology ; Technology
DOI	10.3964/j.issn.1000-0593(2011)05-1357-04
收录类别	SCI ; EI
语种	英语
WOS研究方向	Spectroscopy
WOS类目	Spectroscopy
WOS记录号	WOS:000290462400048
引用统计
文献类型	期刊论文
条目标识符	http://ir.opt.ac.cn/handle/181661/10465
专题	光谱成像技术研究室
作者单位	1.Chinese Acad Sci, Acad Optoelect, Beijing 100190, Peoples R China 2.Chinese Acad Sci, Key Lab Spectral Imaging Technol, Lab Spectral Imaging Technol, Xian Inst Opt & Precis Mech, Xian 710119, Peoples R China 3.Chinese Acad Sci, Grad Univ, Beijing 100049, Peoples R China
推荐引用方式 GB/T 7714	Wei Jun-xia,Xiangli Bin,Gao Xiao-hui,et al. The Multi-Spectra Classification Algorithm Based on K-Means Clustering and Spectral Angle Cosine[J]. SPECTROSCOPY AND SPECTRAL ANALYSIS,2011,31(5):1357-1360.
APA	Wei Jun-xia,Xiangli Bin,Gao Xiao-hui,&Duan Xiao-feng.(2011).The Multi-Spectra Classification Algorithm Based on K-Means Clustering and Spectral Angle Cosine.SPECTROSCOPY AND SPECTRAL ANALYSIS,31(5),1357-1360.
MLA	Wei Jun-xia,et al."The Multi-Spectra Classification Algorithm Based on K-Means Clustering and Spectral Angle Cosine".SPECTROSCOPY AND SPECTRAL ANALYSIS 31.5(2011):1357-1360.

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