OPT OpenIR  > 光学影像学习与分析中心
Fast Spectral Clustering for Unsupervised Hyperspectral Image Classification
Zhao, Yang1,2; Yuan, Yuan3,4; Wang, Qi3,4
Department光学影像学习与分析中心
2019-02-02
Source PublicationREMOTE SENSING
ISSN2072-4292
Volume11Issue:4
Contribution Rank1
Abstract

Hyperspectral image classification is a challenging and significant domain in the field of remote sensing with numerous applications in agriculture, environmental science, mineralogy, and surveillance. In the past years, a growing number of advanced hyperspectral remote sensing image classification techniques based on manifold learning, sparse representation and deep learning have been proposed and reported a good performance in accuracy and efficiency on state-of-the-art public datasets. However, most existing methods still face challenges in dealing with large-scale hyperspectral image datasets due to their high computational complexity. In this work, we propose an improved spectral clustering method for large-scale hyperspectral image classification without any prior information. The proposed algorithm introduces two efficient approximation techniques based on Nystrom extension and anchor-based graph to construct the affinity matrix. We also propose an effective solution to solve the eigenvalue decomposition problem by multiplicative update optimization. Experiments on both the synthetic datasets and the hyperspectral image datasets were conducted to demonstrate the efficiency and effectiveness of the proposed algorithm.

Keywordspectral clustering hyperspectral image classification remote sensing manifold learning unsupervised learning
DOI10.3390/rs11040399
Indexed BySCI ; EI
Language英语
WOS IDWOS:000460766100029
PublisherMDPI
EI Accession Number20191006613014
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31337
Collection光学影像学习与分析中心
Corresponding AuthorYuan, Yuan
Affiliation1.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Key Lab Spectral Imaging Technol, Xian 710119, Shaanxi, Peoples R China
2.Univ Chinese Acad Sci, Beijing 100049, Peoples R China
3.Northwestern Polytech Univ, Sch Comp Sci, Xian 710072, Shaanxi, Peoples R China
4.Northwestern Polytech Univ, Ctr OPT IMagery Anal & Learning OPTIMAL, Xian 710072, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Zhao, Yang,Yuan, Yuan,Wang, Qi. Fast Spectral Clustering for Unsupervised Hyperspectral Image Classification[J]. REMOTE SENSING,2019,11(4).
APA Zhao, Yang,Yuan, Yuan,&Wang, Qi.(2019).Fast Spectral Clustering for Unsupervised Hyperspectral Image Classification.REMOTE SENSING,11(4).
MLA Zhao, Yang,et al."Fast Spectral Clustering for Unsupervised Hyperspectral Image Classification".REMOTE SENSING 11.4(2019).
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