A Novel Algorithm for Satellite Images Fusion Based on Compressed Sensing and PCA
Joint Authors
Yang, Wenkao
Wang, Jing
Guo, Jing
Source
Mathematical Problems in Engineering
Issue
Vol. 2013, Issue 2013 (31 Dec. 2013), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2013-10-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Abstract EN
This paper studies the image fusion of high-resolution panchromatic image and low-resolution multispectral image.
Based on the classic fusion algorithms on remote sensing image fusion, the PCA (principal component analysis) transform, and discrete wavelet transform, we carry out in-depth research.
The compressed sensing (CS) abandons the full sample and shifts the sampling of the signal to sampling information that greatly reduces the potential consumption of traditional signal acquisition and processing.
We combine compressed sensing with satellite remote sensing image fusion algorithm and propose an innovative fusion algorithm (CS-FWT-PCA), in which the symmetric fractional B-spline wavelet acts as the sparse base.
In the algorithm we use Hama Da matrix as the measurement matrix and SAMP as the reconstruction algorithm and adopt an improved fusion rule based on the local variance.
The simulation results show that the CS-FWT-PCA fusion algorithm achieves better fusion effect than the traditional fusion method.
American Psychological Association (APA)
Yang, Wenkao& Wang, Jing& Guo, Jing. 2013. A Novel Algorithm for Satellite Images Fusion Based on Compressed Sensing and PCA. Mathematical Problems in Engineering،Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010439
Modern Language Association (MLA)
Yang, Wenkao…[et al.]. A Novel Algorithm for Satellite Images Fusion Based on Compressed Sensing and PCA. Mathematical Problems in Engineering No. 2013 (2013), pp.1-10.
https://search.emarefa.net/detail/BIM-1010439
American Medical Association (AMA)
Yang, Wenkao& Wang, Jing& Guo, Jing. A Novel Algorithm for Satellite Images Fusion Based on Compressed Sensing and PCA. Mathematical Problems in Engineering. 2013. Vol. 2013, no. 2013, pp.1-10.
https://search.emarefa.net/detail/BIM-1010439
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1010439