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Hyperspectral image classification based on joint spectrum of spatial space and spectral space
Zhang, Xiaorong1,2,3; Pan, Zhibin1; Lu, Xiaoqiang3; Hu, Bingliang3; Zheng, Xi4
Department光学影像学习与分析中心
2018-11-01
Source PublicationMultimedia Tools and Applications
ISSN13807501;15737721
Volume77Issue:22Pages:29759-29777
Contribution Rank3
Abstract

This paper presents a novel feature extraction model that incorporates local histogram in spatial space and pixel spectrum in spectral space, with the goal of hyperspectral image classification. We named this joint spectrum as 3D spectrum. Moreover, as a pre-processing step, an iterative procedure, which exploits spectral information in such a way that it considers corrupted bands existing in the data cube, is applied to original hyperspectral image. Further, Affine transform is applied to the bands chosen by the aforementioned procedure. The final feature is extracted by affine transform and 3D spectrum model, and as an input of widely used classifier of Support Vector Machine. As a post-processing step, multiple iterative results are fused in the level of probability. Our experimental results indicate that the proposed methodology leads to state-of-the-art classification results when combined with probabilistic classifiers for several widely used hyperspectral data sets, even when very only limited training samples are available. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

KeywordClassification Hyperspectral Imagery Spectral-spatial Fusion Affine Transform Feature Extraction Probabilistic Fusion
DOI10.1007/s11042-017-5552-6
Indexed BySCI ; EI
Language英语
WOS IDWOS:000451780800033
PublisherSpringer New York LLC
EI Accession Number20184105938669
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/30670
Collection光学影像学习与分析中心
Corresponding AuthorZhang, Xiaorong
Affiliation1.School of Electronic & Information Engineering, Xi’an Jiaotong University, Xi’an; 710049, China;
2.University of Chinese Academy of Sciences, Beijing; 100039, China;
3.Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi’an; 710119, China;
4.Institute of Earth Environment Chinese Academy of Sciences, Xi’an; 710016, China
Recommended Citation
GB/T 7714
Zhang, Xiaorong,Pan, Zhibin,Lu, Xiaoqiang,et al. Hyperspectral image classification based on joint spectrum of spatial space and spectral space[J]. Multimedia Tools and Applications,2018,77(22):29759-29777.
APA Zhang, Xiaorong,Pan, Zhibin,Lu, Xiaoqiang,Hu, Bingliang,&Zheng, Xi.(2018).Hyperspectral image classification based on joint spectrum of spatial space and spectral space.Multimedia Tools and Applications,77(22),29759-29777.
MLA Zhang, Xiaorong,et al."Hyperspectral image classification based on joint spectrum of spatial space and spectral space".Multimedia Tools and Applications 77.22(2018):29759-29777.
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