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Dual-Clustering-Based Hyperspectral Band Selection by Contextual Analysis
文献类型：期刊论文
| 作者 | Yuan, Yuan1 ; Lin, Jianzhe1; Wang, Qi2,3
|
| 刊名 | ieee transactions on geoscience and remote sensing
 |
| 出版日期 | 2016-03-01 |
| 卷号 | 54期号:3页码:1431-1445 |
| 关键词 | Band selection context dual clustering hyperspectral angle hyperspectral image (HSI) |
| ISSN号 | 0196-2892 |
| 产权排序 | 1 |
| 通讯作者 | wang, q |
| 英文摘要 | 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. |
| WOS标题词 | science & technology ; physical sciences ; technology |
| 学科主题 | 天文学、地球科学 |
| 类目[WOS] | geochemistry & geophysics ; engineering, electrical & electronic ; remote sensing ; imaging science & photographic technology |
| 研究领域[WOS] | geochemistry & geophysics ; engineering ; remote sensing ; imaging science & photographic technology |
| 关键词[WOS] | image classification ; mutual-information ; feature-extraction ; decomposition ; compression ; saliency |
| 收录类别 | SCI ; EI |
| 语种 | 英语 |
| WOS记录号 | WOS:000372369400016 |
| 源URL | [http://ir.opt.ac.cn/handle/181661/27896]  |
| 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, 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 |
| 推荐引用方式 GB/T 7714 | Yuan, Yuan,Lin, Jianzhe,Wang, Qi. 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.(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. |
入库方式： OAI收割
来源：西安光学精密机械研究所
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