Hyperspectral image classification based on joint spectrum of spatial space and spectral space

doi:10.1007/s11042-017-5552-6

IEECAS OpenIR > 黄土与第四纪地质国家重点实验室（2010~）

	Hyperspectral image classification based on joint spectrum of spatial space and spectral space
	Zhang, XR(Zhang, Xiaorong)1,2,3; Pan, ZB(Pan, Zhibin)1; Lu, XQ(Lu, Xiaoqiang)3; Hu, BL(Hu,Bingliang)3; Zheng, X(Zheng, Xi)4; Zhang, Xiaorong
通讯作者	Zhang, Xiaorong(zhangxiaorong@opt.ac.cn)
	2018-01
发表期刊	Multimedia Tools and Applications
ISSN	1380-7501
卷号	77 期号:2018 页码:1-19
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.
关键词	Classification Hyperspectral Imagery Spectral-spatial Fusion Affine Transform Feature Extraction Probabilistic Fusion
DOI	10.1007/s11042-017-5552-6
关键词[WOS]	FEATURE-EXTRACTION ; BAND SELECTION ; SALIENCY ; KERNEL
收录类别	SCI ; SCI
语种	英语
资助项目	National Natural Science Foundation of China (NSFC)[61501456] ; National Natural Science Foundation of China (NSFC)[XAB2016B20]
WOS研究方向	Computer Science ; Engineering
项目资助者	National Natural Science Foundation of China (NSFC)
WOS类目	Computer Science, Information Systems ; Computer Science, Software Engineering ; Computer Science, Theory & Methods ; Engineering, Electrical & Electronic
WOS记录号	WOS:000451780800033
出版者	SPRINGER
引用统计	被引频次：7[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.ieecas.cn/handle/361006/5295
专题	黄土与第四纪地质国家重点实验室（2010~）
通讯作者	Zhang, Xiaorong
作者单位	1.School of Electronic & Information Engineering, Xi’an Jiaotong University, Xi’an 710049, People’s Republic of China 2.University of Chinese Academy of Sciences, Beijing 100039, People’s Republic of China 3.Xi’an Institute of Optics and Precision Mechanics, Chinese Academy of Science, Xi’an 710119, People’s Republic of China 4.Institute of Earth Environment Chinese Academy of Sciences, Xi’an 710016, People’s Republic of China
推荐引用方式 GB/T 7714	Zhang, XR,Pan, ZB,Lu, XQ,et al. Hyperspectral image classification based on joint spectrum of spatial space and spectral space[J]. Multimedia Tools and Applications,2018,77(2018):1-19.
APA	Zhang, XR,Pan, ZB,Lu, XQ,Hu, BL,Zheng, X,&Zhang, Xiaorong.(2018).Hyperspectral image classification based on joint spectrum of spatial space and spectral space.Multimedia Tools and Applications,77(2018),1-19.
MLA	Zhang, XR,et al."Hyperspectral image classification based on joint spectrum of spatial space and spectral space".Multimedia Tools and Applications 77.2018(2018):1-19.

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