The technique of fusing multispectral image with panchromatic image in order to get a resultant output image of relatively higher spectral resolution and higher spatial information is termed as pan sharpening. It is being used in many remote sensing tasks for different applications including classification, segmentation, change detection, etc. This paper proposes the usage of Variational Mode Decomposition (VMD) as a technique for fusing multispectral and panchromatic images. It also considers average fusion rule and weighing fusion rule during its procedural steps. The experiment is being done on datasets acquired by high resolution sensors on-board satellites such as QuickBird, WorldView-3, WorldView-2 and GeoEye-1. Quantitative assessment measures and visual perception evaluates the effectiveness of the method. The analysis from the obtained results suggest that the proposed method can be used as an image fusion technique and its performance is comparable to the pre-existing pan sharpening techniques like Multi-resolution Singular Value Decomposition (MSVD), Discrete Wavelet Transform (DWT) and Empirical Wavelet Transform (EWT). © International Science Press.
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V. V. Pradeep, Sowmya V., and Soman, K. P., “Variational mode decomposition based multispectral and panchromatic image fusion”, International Journal of Control Theory and Applications, vol. 9, no. 16, pp. 8051-8059, 2016.