Journal of Computer and Communications

Vol.5 No.12(2017), Paper ID 79734, 14 pages

DOI:10.4236/jcc.2017.512004

 

Remote Sensing Image Fusion Using Bidimensional Empirical Mode Decomposition and the Least Squares Theory

 

Dengshan Huang, Peng Yang, Jun Li, Changhui Ma

 

College of Mathematics and Computational Science, Xiangtan University, Xiangtan, China
College of Civil Engineering and Mechanics, Xiangtan University, Xiangtan, China
College of Civil Engineering and Mechanics, Xiangtan University, Xiangtan, China
College of Civil Engineering and Mechanics, Xiangtan University, Xiangtan, China

 

Copyright © 2017 Dengshan Huang, Peng Yang, Jun Li, Changhui Ma et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

 

How to Cite this Article


Huang, D. , Yang, P. , Li, J. and Ma, C. (2017) Remote Sensing Image Fusion Using Bidimensional Empirical Mode Decomposition and the Least Squares Theory. Journal of Computer and Communications, 5, 35-48. doi: 10.4236/jcc.2017.512004.

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