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Spectral Tensor Synthesis Analysis for Hyperspectral Image Spectral-Spatial Feature Extraction
Yan, Ronghua1,2; Peng, Jinye1,3; Ma, Dongmei4; Wen, Desheng2
Department空间光学应用研究室
2019-01
Source PublicationJOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING
ISSN0255-660X;0974-3006
Volume47Issue:1Pages:91-100
Contribution Rank1
Abstract

Feature extraction is a preprocessing step for hyperspectral image classification. Principal component analysis only uses the spectral information, but it does not use spatial information of a hyperspectral image. Both spatial and spectral information are used when hyperspectral image is modelled as tensor, that is, decreasing the noise on spatial dimension and reducing the dimension on a spectral dimension at the same time. However, in this model, a hyperspectral image is modelled only as a data cube. The factors affecting the spectral features of ground objects is not considered and these factors are barely distinguished. This means that further improving classification is very difficult. Therefore, a new model on hyperspectral image is proposed by the authors. In the new model, many factors that impact the spectral features of ground objects are synthesized as the within-class factor. The within-class factor, the class factor and the pixel spectral are selected as a mode, respectively. The pixel spectrals in the training set are modelled as a third-order tensor. The experiment results indicate that the new method improves the classification compared with the previous methods.

KeywordFeature extraction Tensor processing Hyperspectral image Spectral tensor
DOI10.1007/s12524-018-0873-0
Indexed BySCI
Language英语
WOS IDWOS:000458258300009
PublisherSPRINGER
Citation statistics
Document Type期刊论文
Identifierhttp://ir.opt.ac.cn/handle/181661/31179
Collection空间光学应用研究室
Corresponding AuthorYan, Ronghua
Affiliation1.Northwestern Polytech Univ, Sch Elect & Informat, Space Opt Lab, Xian 710072, Shaanxi, Peoples R China
2.Chinese Acad Sci, Xian Inst Opt & Precis Mech, Xian 710119, Shaanxi, Peoples R China
3.Northwest Univ, Sch Informat & Technol, Xian 710127, Shaanxi, Peoples R China
4.Xian Janssen Pharmaceut Ltd, Xian 710043, Shaanxi, Peoples R China
Recommended Citation
GB/T 7714
Yan, Ronghua,Peng, Jinye,Ma, Dongmei,et al. Spectral Tensor Synthesis Analysis for Hyperspectral Image Spectral-Spatial Feature Extraction[J]. JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING,2019,47(1):91-100.
APA Yan, Ronghua,Peng, Jinye,Ma, Dongmei,&Wen, Desheng.(2019).Spectral Tensor Synthesis Analysis for Hyperspectral Image Spectral-Spatial Feature Extraction.JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING,47(1),91-100.
MLA Yan, Ronghua,et al."Spectral Tensor Synthesis Analysis for Hyperspectral Image Spectral-Spatial Feature Extraction".JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING 47.1(2019):91-100.
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