Proceedings of the 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)

Remote Sensing Image Fusion Method Based on improved Radial Basis and Fast partition Interpolation

Authors
Zhanwei Qu
Corresponding Author
Zhanwei Qu
Available Online September 2016.
DOI
https://doi.org/10.2991/iccia-16.2016.87How to use a DOI?
Keywords
Compactly supported; Empirical mode decomposition; Wavelet transform; Remote sensing image fusion.
Abstract
A novel algorithm for image fusion based on improved Radial Basis Function named Compactly Supported Radial Basis Function (CSRBF) and fast partition interpolation is proposed. Empirical mode decomposition (EMD) construct the implicit surface for approximating the 3D points set by using RBF for reconstructing smooth surface. Using CSRBF, the matrix of corresponding system of the linear algebraic equations is spare and bounded. So it can decrease the complexity of RBF algorithm. A fast block method enables to improve processing speed. In addition, the paper combines IHS and à trous wavelet transform (AWT) so that spectral information of the original image is reserved and spatial detail of image fusion is enhanced. A number of examples demonstrates that the algorithm is appied to the remote sensing image fusion and obtain good results.
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Proceedings
2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
Part of series
Advances in Computer Science Research
Publication Date
September 2016
ISBN
978-94-6252-240-4
ISSN
2352-538X
DOI
https://doi.org/10.2991/iccia-16.2016.87How to use a DOI?
Open Access
This is an open access article distributed under the CC BY-NC license.

Cite this article

TY  - CONF
AU  - Zhanwei Qu
PY  - 2016/09
DA  - 2016/09
TI  - Remote Sensing Image Fusion Method Based on improved Radial Basis and Fast partition Interpolation
BT  - 2016 International Conference on Computer Engineering, Information Science & Application Technology (ICCIA 2016)
PB  - Atlantis Press
SP  - 474
EP  - 480
SN  - 2352-538X
UR  - https://doi.org/10.2991/iccia-16.2016.87
DO  - https://doi.org/10.2991/iccia-16.2016.87
ID  - Qu2016/09
ER  -