![](/images/graphics-bg.png)
Randomized SVD Methods in Hyperspectral Imaging
Joint Authors
Erway, Jennifer
Zhang, Jiani
Hu, Xiaofei
Plemmons, Robert J.
Zhang, Qiang
Source
Journal of Electrical and Computer Engineering
Issue
Vol. 2012, Issue 2012 (31 Dec. 2012), pp.1-15, 15 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2012-09-19
Country of Publication
Egypt
No. of Pages
15
Main Subjects
Engineering Sciences and Information Technology
Information Technology and Computer Science
Abstract EN
We present a randomized singular value decomposition (rSVD) method for the purposes of lossless compression, reconstruction, classification, and target detection with hyperspectral (HSI) data.
Recent work in low-rank matrix approximations obtained from random projections suggests that these approximations are well suited for randomized dimensionality reduction.
Approximation errors for the rSVD are evaluated on HSI, and comparisons are made to deterministic techniques and as well as to other randomized low-rank matrix approximation methods involving compressive principal component analysis.
Numerical tests on real HSI data suggest that the method is promising and is particularly effective for HSI data interrogation.
American Psychological Association (APA)
Zhang, Jiani& Erway, Jennifer& Hu, Xiaofei& Zhang, Qiang& Plemmons, Robert J.. 2012. Randomized SVD Methods in Hyperspectral Imaging. Journal of Electrical and Computer Engineering،Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-469873
Modern Language Association (MLA)
Zhang, Jiani…[et al.]. Randomized SVD Methods in Hyperspectral Imaging. Journal of Electrical and Computer Engineering No. 2012 (2012), pp.1-15.
https://search.emarefa.net/detail/BIM-469873
American Medical Association (AMA)
Zhang, Jiani& Erway, Jennifer& Hu, Xiaofei& Zhang, Qiang& Plemmons, Robert J.. Randomized SVD Methods in Hyperspectral Imaging. Journal of Electrical and Computer Engineering. 2012. Vol. 2012, no. 2012, pp.1-15.
https://search.emarefa.net/detail/BIM-469873
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-469873