Spectral-Spatial Shared Linear Regression for Hyperspectral Image Classification
Yuan, Haoliang; Tang, Yuan Yan

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)
URLView the original
Indexed BySCI
WOS Research AreaAutomation & Control Systems ; Computer Science
WOS SubjectAutomation & Control Systems ; Computer Science, Artificial Intelligence ; Computer Science, Cybernetics
WOS IDWOS:000396396700010
The Source to ArticleWOS
Fulltext Access
Citation statistics
Cited Times [WOS]:12   [WOS Record]     [Related Records in WOS]
Document TypeJournal article
CollectionUniversity of Macau
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.
Files in This Item:
There are no files associated with this item.
Related Services
Recommend this item
Usage statistics
Export to Endnote
Google Scholar
Similar articles in Google Scholar
[Yuan, Haoliang]'s Articles
[Tang, Yuan Yan]'s Articles
Baidu academic
Similar articles in Baidu academic
[Yuan, Haoliang]'s Articles
[Tang, Yuan Yan]'s Articles
Bing Scholar
Similar articles in Bing Scholar
[Yuan, Haoliang]'s Articles
[Tang, Yuan Yan]'s Articles
Terms of Use
No data!
Social Bookmark/Share
All comments (0)
No comment.

Items in the repository are protected by copyright, with all rights reserved, unless otherwise indicated.