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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
作者部门光学影像学习与分析中心
2018-11-01
发表期刊Multimedia Tools and Applications
ISSN13807501;15737721
卷号77期号:22页码:29759-29777
产权排序3
摘要

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.

关键词Classification Hyperspectral Imagery Spectral-spatial Fusion Affine Transform Feature Extraction Probabilistic Fusion
DOI10.1007/s11042-017-5552-6
收录类别SCI ; EI
语种英语
WOS记录号WOS:000451780800033
出版者Springer New York LLC
EI入藏号20184105938669
引用统计
文献类型期刊论文
条目标识符http://ir.opt.ac.cn/handle/181661/30670
专题光学影像学习与分析中心
通讯作者Zhang, Xiaorong
作者单位1.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
推荐引用方式
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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