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Dual-Clustering-Based Hyperspectral Band Selection by Contextual Analysis
Yuan, Yuan1; Lin, Jianzhe1; Wang, Qi2,3; Wang, Q
作者部门光学影像学习与分析中心
2016-03-01
发表期刊IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
卷号54期号:3页码:1431-1445
产权排序1
摘要Hyperspectral image (HSI) involves vast quantities of information that can help with the image analysis. However, this information has sometimes been proved to be redundant, considering specific applications such as HSI classification and anomaly detection. To address this problem, hyperspectral band selection is viewed as an effective dimensionality reduction method that can remove the redundant components of HSI. Various HSI band selection methods have been proposed recently, and the clustering-based method is a traditional one. This agglomerative method has been considered simple and straightforward, while the performance is generally inferior to the state of the art. To tackle the inherent drawbacks of the clustering-based band selection method, a new framework concerning on dual clustering is proposed in this paper. The main contribution can be concluded as follows: 1) a novel descriptor that reveals the context of HSI efficiently; 2) a dual clustering method that includes the contextual information in the clustering process; 3) a new strategy that selects the cluster representatives jointly considering the mutual effects of each cluster. Experimental results on three real-world HSIs verify the noticeable accuracy of the proposed method, with regard to the HSI classification application. The main comparison has been conducted among several recent clustering-based band selection methods and constraint-based band selection methods, demonstrating the superiority of the technique that we present.
文章类型Article
关键词Band Selection Context Dual Clustering Hyperspectral Angle Hyperspectral Image (Hsi)
学科领域天文学、地球科学
WOS标题词Science & Technology ; Physical Sciences ; Technology
DOI10.1109/TGRS.2015.2480866
收录类别SCI ; EI
关键词[WOS]IMAGE CLASSIFICATION ; MUTUAL-INFORMATION ; FEATURE-EXTRACTION ; DECOMPOSITION ; COMPRESSION ; SALIENCY
语种英语
WOS研究方向Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
项目资助者National Basic Research Program of China (Youth 973 Program)(2013CB336500) ; State Key Program of National Natural Science of China(61232010) ; National Natural Science Foundation of China(61172143 ; Natural Science Foundation Research Project of Shaanxi Province(2015JM6264) ; Fundamental Research Funds for the Central Universities(3102014JC02020G07) ; Open Research Fund of Key Laboratory of Spectral Imaging Technology, Chinese Academy of Sciences ; 61105012 ; 61379094)
WOS类目Geochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号WOS:000372369400016
引用统计
被引频次:141[WOS]   [WOS记录]     [WOS相关记录]
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/27896
专题光谱成像技术研究室
通讯作者Wang, Q
作者单位1.Chinese Acad Sci, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian Inst Opt & Precis Mech, State Key Lab Transient Opt & Photon, Xian 710119, Peoples R China
2.Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Peoples R China
3.Northwestern Polytech Univ, Ctr Opt IMagery Anal & Learning OPTIMAL, Xian 710072, Peoples R China
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Yuan, Yuan,Lin, Jianzhe,Wang, Qi,et al. Dual-Clustering-Based Hyperspectral Band Selection by Contextual Analysis[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2016,54(3):1431-1445.
APA Yuan, Yuan,Lin, Jianzhe,Wang, Qi,&Wang, Q.(2016).Dual-Clustering-Based Hyperspectral Band Selection by Contextual Analysis.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,54(3),1431-1445.
MLA Yuan, Yuan,et al."Dual-Clustering-Based Hyperspectral Band Selection by Contextual Analysis".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 54.3(2016):1431-1445.
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