Abstract
In this paper, a new method for Panchromatic and Multispectral satellite image fusion is proposed. The major challenge of a fusion algorithm is to improve the spatial and spectral qualities of the fused image. But the spatial and spectral qualities are inversely proportional; we cannot improve either quality above particular range without losing visual quality, and most of the current methods do not take into consideration about visual quality. The proposed method tries to improve the spatial and visual quality with reduced spectral distortion using a Bi-Level Intensity Hue Saturation transform. Proposed method is rigorously tested over QuickBird and IKONOS satellite images and the experimental results shows that our method produces high visual quality fused images with a good spatial and spectral quality levels compared with existing methods.
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Ramakrishnan, N.K., Simon, P. (2013). A Bi-level IHS Transform for Fusing Panchromatic and Multispectral Images. In: Maji, P., Ghosh, A., Murty, M.N., Ghosh, K., Pal, S.K. (eds) Pattern Recognition and Machine Intelligence. PReMI 2013. Lecture Notes in Computer Science, vol 8251. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-45062-4_50
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DOI: https://doi.org/10.1007/978-3-642-45062-4_50
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