Abstract
AbstractAn image that holds both high spatial and spectral information is the most preferred one. A panchromatic (PAN) image contains high spatial resolution, whereas a multispectral (MS) image contains high spectral information. Pan-sharpening is a technique that combines more than one image into a single image that has been used after extracting the spatial information from panchromatic image and spectral information from multispectral image. The pixel resolution of the PAN image is greater than that of the MS image, and before image fusion, both should be on the same scale. We have solved this by an innovative interpolation approach in this paper. We have done a detailed study on several fusion algorithms, but wavelet and Brovey transforms are the most frequently used methods in the current scenario. We have also introduced a new image fusion technique that takes complete information from both images. Wavelet transform preserves spectral information, whereas Brovey transform holds the spatial information. A combination of these two methods is applied after the interpolation, and it results well. This paper presents a combination of wavelet and Brovey Transformation fusion algorithm, and a new fusion technique followed by an innovative interpolation approach.KeywordsPanchromatic imageMultispectral imageSpatial resolutionSpectral resolutionPan-sharpeningInterpolationWavelet transformBrovey transform
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