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Dimension reduction using spatial and spectral regularized local discriminant embedding for hyperspectral image classification
Zhou Y.1; Peng J.1,2; Chen C.L.P.1
2015
Source PublicationIEEE Transactions on Geoscience and Remote Sensing
ISSN1962892
Volume53Issue:2Pages:1082
Abstract

Dimension reduction (DR) is a necessary and helpful preprocessing for hyperspectral image (HSI) classification. In this paper, we propose a spatial and spectral regularized local discriminant embedding (SSRLDE) method for DR of hyperspectral data. In SSRLDE, hyperspectral pixels are first smoothed by the multiscale spatial weighted mean filtering. Then, the local similarity information is described by integrating a spectral-domain regularized local preserving scatter matrix and a spatial-domain local pixel neighborhood preserving scatter matrix. Finally, the optimal discriminative projection is learned by minimizing a local spatial-spectral scatter and maximizing a modified total data scatter. Experimental results on benchmark hyperspectral data sets show that the proposed SSRLDE significantly outperforms the state-of-the-art DR methods for HSI classification. © 2014 IEEE.

KeywordDimension Reduction (Dr) Hyperspectral Image (Hsi) Local Pixel Neighborhood Preserving Embedding (Lpnpe) Regularized Local Discriminant Embedding (Rlde)
DOIhttp://doi.org/10.1109/TGRS.2014.2333539
URLView the original
Indexed BySCI
Language英语
WOS Research AreaGeochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectGeochemistry & Geophysics ; Engineering, Electrical & Electronic ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000342910800041
The Source to ArticleScopus
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Cited Times [WOS]:102   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionFaculty of Science and Technology
DEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorZhou Y.; Peng J.; Chen C.L.P.
Affiliation1.Univ Macau, Dept Comp & Informat Sci, Taipa, Macau, Peoples R China
2.Hubei Univ, Fac Math & Stat, Wuhan 430062, Peoples R China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Zhou Y.,Peng J.,Chen C.L.P.. Dimension reduction using spatial and spectral regularized local discriminant embedding for hyperspectral image classification[J]. IEEE Transactions on Geoscience and Remote Sensing,2015,53(2):1082.
APA Zhou Y.,Peng J.,&Chen C.L.P..(2015).Dimension reduction using spatial and spectral regularized local discriminant embedding for hyperspectral image classification.IEEE Transactions on Geoscience and Remote Sensing,53(2),1082.
MLA Zhou Y.,et al."Dimension reduction using spatial and spectral regularized local discriminant embedding for hyperspectral image classification".IEEE Transactions on Geoscience and Remote Sensing 53.2(2015):1082.
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