The Multi-Spectra Classification Algorithm Based on K-Means Clustering and Spectral Angle Cosine
文献类型：期刊论文
| 作者 | Wei Jun-xia2,3; Xiangli Bin1; Gao Xiao-hui2,3 ; Duan Xiao-feng2
|
| 刊名 | spectroscopy and spectral analysis
 |
| 出版日期 | 2011-05-01 |
| 卷号 | 31期号:5页码:1357-1360 |
| 关键词 | K-means Euclidean distance method Spectral angle cosine method Multi-spectra |
| ISSN号 | 1000-0593 |
| 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 |
| 英文摘要 | 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. |
| WOS标题词 | science & technology ; technology |
| 学科主题 | spectroscopy |
| 类目[WOS] | spectroscopy |
| 研究领域[WOS] | spectroscopy |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000290462400048 |
| 公开日期 | 2011-09-30 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/10465]  |
| 专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
| 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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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