Publication Type : Journal Article
Publisher : Indian Journal of Science and Technology
Source : Indian Journal of Science and Technology, Volume 8, Issue 24 (2015)
Url : http://www.indjst.org/index.php/indjst/article/view/80520
Keywords : Discrete Wavelet Transform, Empirical Wavelet Transform, Image fusion, Multi-resolution Singular Value Decomposition, Pan Sharpening, Quality metrics
Campus : Coimbatore
School : School of Engineering
Center : Computational Engineering and Networking
Department : Electronics and Communication
Verified : Yes
Year : 2015
Abstract : Pan sharpening is the process of fusion of panchromatic and multispectral image to obtain an output image of high spatial and spectral resolution. It is very important for various remote sensing applications such as image segmentation studies, image classification, temporal change detection etc. The present work demonstrates the application of Empirical Wavelet Transform for the fusion of panchromatic image and multispectral image by simple average fusion rule. The Proposed method is experimented on panchromatic and multispectral images captured by high resolution earth observation satellites such as GeoEye-1, QuickBird, WorldView-2 and World View-3. The effectiveness of our proposed method is evaluated by visual perception and quantitative assessment measures. The experimental analysis shows that the proposed method performs comparable to the existing fusion algorithms such as Multi-resolution Singular Value Decomposition and Discrete Wavelet Transform.
Cite this Research Publication : S. Moushmi, Sowmya, and Dr. Soman K. P., “Multispectral and Panchromatic Image Fusion using Empirical Wavelet Transform”, Indian Journal of Science and Technology, vol. 8, no. 24, 2015.