Analysis and Denoising of Hyperspectral Remote Sensing Image in the Curvelet Domain
Joint Authors
Xu, Dong
Sun, Lei
Luo, Jianshu
Liu, Zhihui
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-11, 11 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-07-22
Country of Publication
Egypt
No. of Pages
11
Main Subjects
Abstract EN
A new denoising algorithm is proposed according to the characteristics of hyperspectral remote sensing image (HRSI) in the curvelet domain.
Firstly, each band of HRSI is transformed into the curvelet domain, and the sets of subband images are obtained from different wavelength of HRSI.
And then the detail subband images in the same scale and same direction from different wavelengths of HRSI are stacked to obtain new 3-D datacubes of the curvelet domain.
Again, the characteristics analysis of these 3-D datacubes is performed.
The analysis result shows that each new 3-D datacube has the strong spectral correlation.
At last, due to the strong spectral correlation of new 3-D datacubes, the multiple linear regression is introduced to deal with these new 3-D datacubes in the curvelet domain.
The simulated and the real data experiments are performed.
The simulated data experimental results show that the proposed algorithm is superior to the compared algorithms in the references in terms of SNR.
Furthermore, MSE and MSSIM in each band are utilized to show that the proposed algorithm is superior.
The real data experimental results show that the proposed algorithm effectively removes the common spotty noise and the strip noise and simultaneously maintains more fine features during the denoising process.
American Psychological Association (APA)
Xu, Dong& Sun, Lei& Luo, Jianshu& Liu, Zhihui. 2013. Analysis and Denoising of Hyperspectral Remote Sensing Image in the Curvelet Domain. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010620
Modern Language Association (MLA)
Xu, Dong…[et al.]. Analysis and Denoising of Hyperspectral Remote Sensing Image in the Curvelet Domain. Mathematical Problems in Engineering No. 2013 (2013), pp.1-11.
https://search.emarefa.net/detail/BIM-1010620
American Medical Association (AMA)
Xu, Dong& Sun, Lei& Luo, Jianshu& Liu, Zhihui. Analysis and Denoising of Hyperspectral Remote Sensing Image in the Curvelet Domain. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-11.
https://search.emarefa.net/detail/BIM-1010620
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010620