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Spectral-Spatial Shared Linear Regression for Hyperspectral Image Classification
Yuan, Haoliang; Tang, Yuan Yan
2017-04
Source PublicationIEEE TRANSACTIONS ON CYBERNETICS
ISSN2168-2267
Volume47Issue:4Pages:934-945
Abstract

Classification of the pixels in hyperspectral image (HSI) is an important task and has been popularly applied in many practical applications. Its major challenge is the highdimensional small-sized problem. To deal with this problem, lots of subspace learning (SL) methods are developed to reduce the dimension of the pixels while preserving the important discriminant information. Motivated by ridge linear regression (RLR) framework for SL, we propose a spectral-spatial shared linear regression method (SSSLR) for extracting the feature representation. Comparing with RLR, our proposed SSSLR has the following two advantages. First, we utilize a convex set to explore the spatial structure for computing the linear projection matrix. Second, we utilize a shared structure learning model, which is formed by original data space and a hidden feature space, to learn a more discriminant linear projection matrix for classification. To optimize our proposed method, an efficient iterative algorithm is proposed. Experimental results on two popular HSI data sets, i.e., Indian Pines and Salinas demonstrate that our proposed methods outperform many SL methods.

KeywordHyperspectral Image (Hsi) Classification Linear Regression Shared Model Spatial Structure Subspace Learning (Sl)
DOIhttps://doi.org/10.1109/TCYB.2016.2533430
URLView the original
Indexed BySCI
Language英语
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000396396700010
PublisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
The Source to ArticleWOS
Fulltext Access
Citation statistics
Cited Times [WOS]:10   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionDEPARTMENT OF COMPUTER AND INFORMATION SCIENCE
Corresponding AuthorYuan, Haoliang; Tang, Yuan Yan
AffiliationDepartment of Computer and Information Science, University of Macau, Macau 999078, China
First Author AffilicationUniversity of Macau
Corresponding Author AffilicationUniversity of Macau
Recommended Citation
GB/T 7714
Yuan, Haoliang,Tang, Yuan Yan. Spectral-Spatial Shared Linear Regression for Hyperspectral Image Classification[J]. IEEE TRANSACTIONS ON CYBERNETICS,2017,47(4):934-945.
APA Yuan, Haoliang,&Tang, Yuan Yan.(2017).Spectral-Spatial Shared Linear Regression for Hyperspectral Image Classification.IEEE TRANSACTIONS ON CYBERNETICS,47(4),934-945.
MLA Yuan, Haoliang,et al."Spectral-Spatial Shared Linear Regression for Hyperspectral Image Classification".IEEE TRANSACTIONS ON CYBERNETICS 47.4(2017):934-945.
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