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Optimal Clustering Framework for Hyperspectral Band Selection
Wang, Qi1,2,3; Zhang, Fahong1,2; Li, Xuelong4,5
作者部门光学影像学习与分析中心
2018-10
发表期刊IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
ISSN0196-2892
卷号56期号:10页码:5910-5922
产权排序4
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.

关键词Dynamic Programming (Dp) Hyperspectral Band Selection Normalized Cut (Nc) Spectral Clustering (Sc)
DOI10.1109/TGRS.2018.2828161
收录类别SCI
语种英语
WOS记录号WOS:000446300700027
出版者IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30668
专题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.
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