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Extreme Learning Machine with Composite Kernels for Hyperspectral Image Classification
Zhou Y.1; Peng J.1,2,3; Chen C.L.P.1
2015
Source PublicationIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
ISSN19391404
Volume8Issue:6Pages:2351
Abstract

Due to its simple, fast, and good generalization ability, extreme learning machine (ELM) has recently drawn increasing attention in the pattern recognition and machine learning fields. To investigate the performance of ELM on the hyperspectral images (HSIs), this paper proposes two spatial-spectral composite kernel (CK) ELM classification methods. In the proposed CK framework, the single spatial or spectral kernel consists of activation-function-based kernel and general Gaussian kernel, respectively. The proposed methods inherit the advantages of ELM and have an analytic solution to directly implement the multiclass classification. Experimental results on three benchmark hyperspectral datasets demonstrate that the proposed ELM with CK methods outperform the general ELM, SVM, and SVM with CK methods. © 2014 IEEE.

KeywordComposite Kernel (Ck) Extreme Learning Machine (Elm) Hyperspectral Image (Hsi) Classification
DOIhttp://doi.org/10.1109/JSTARS.2014.2359965
URLView the original
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEngineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000359264000003
The Source to ArticleScopus
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Cited Times [WOS]:77   [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, Macau 999078, Peoples R China
2.Hubei Univ, Fac Math & Stat, Wuhan 430062, Peoples R China
3.Hubei Univ, Key Lab Appl Math Hubei Prov, 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.. Extreme Learning Machine with Composite Kernels for Hyperspectral Image Classification[J]. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2015,8(6):2351.
APA Zhou Y.,Peng J.,&Chen C.L.P..(2015).Extreme Learning Machine with Composite Kernels for Hyperspectral Image Classification.IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,8(6),2351.
MLA Zhou Y.,et al."Extreme Learning Machine with Composite Kernels for Hyperspectral Image Classification".IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing 8.6(2015):2351.
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