Optimal Clustering Framework for Hyperspectral Band Selection
文献类型:期刊论文
作者 | Wang, Qi1,2,3; Zhang, Fahong1,2; Li, Xuelong4,5 |
刊名 | IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING |
出版日期 | 2018-10 |
卷号 | 56期号:10页码:5910-5922 |
ISSN号 | 0196-2892 |
关键词 | Dynamic Programming (Dp) Hyperspectral Band Selection Normalized Cut (Nc) Spectral Clustering (Sc) |
DOI | 10.1109/TGRS.2018.2828161 |
产权排序 | 4 |
英文摘要 | Band selection, by choosing a set of representative bands in a hyperspectral image, is an effective method to reduce the redundant information without compromising the original contents. Recently, various unsupervised band selection methods have been proposed, but most of them are based on approximation algorithms which can only obtain suboptimal solutions toward a specific objective function. This paper focuses on clustering-based band selection and proposes a new framework to solve the above dilemma, claiming the following contributions: 1) an optimal clustering framework, which can obtain the optimal clustering result for a particular form of objective function under a reasonable constraint; 2) a rank on clusters strategy, which provides an effective criterion to select bands on existing clustering structure; and 3) an automatic method to determine the number of the required bands, which can better evaluate the distinctive information produced by certain number of bands. In experiments, the proposed algorithm is compared with some state-of-the-art competitors. According to the experimental results, the proposed algorithm is robust and significantly outperforms the other methods on various data sets. |
语种 | 英语 |
出版者 | IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC |
WOS记录号 | WOS:000446300700027 |
源URL | [http://ir.opt.ac.cn/handle/181661/30668] |
专题 | 西安光学精密机械研究所_光学影像学习与分析中心 |
通讯作者 | Wang, Qi |
作者单位 | 1.Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Shaanxi, Peoples R China 2.Northwestern Polytech Univ, Ctr Opt Imagery Anal & Learning, Xian 710072, Shaanxi, Peoples R China 3.Northwestern Polytech Univ, Unmanned Syst Res Inst, Xian 710072, Shaanxi, Peoples R China 4.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China 5.Univ Chinese Acad Sci, Beijing 100049, Peoples R China |
推荐引用方式 GB/T 7714 | Wang, Qi,Zhang, Fahong,Li, Xuelong. Optimal Clustering Framework for Hyperspectral Band Selection[J]. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,2018,56(10):5910-5922. |
APA | Wang, Qi,Zhang, Fahong,&Li, Xuelong.(2018).Optimal Clustering Framework for Hyperspectral Band Selection.IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING,56(10),5910-5922. |
MLA | Wang, Qi,et al."Optimal Clustering Framework for Hyperspectral Band Selection".IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING 56.10(2018):5910-5922. |
入库方式: OAI收割
来源:西安光学精密机械研究所
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