Abstract
Pan-sharpening is one of the most important tasks performed on satellite images as it enhances spectral and spatial information of the images. Empirical mode decomposition (EMD) is one of the powerful methods for pan-sharpening. It first decomposes the image into a set of intrinsic mode functions and a residual component. These panchromatic and multi-spectral components are then fused to create an enhanced pan-sharpened image. This paper presents two efficient hybrid methods to enhance pan-sharpening of multi-spectral images. The new proposals combine the EMD with the two pan-sharpening methods: high-pass filtering and discrete wavelet transform to maximize the pan-sharpened image quality. The two methods are evaluated using satellite images of Cairo and Suez Canal region, Egypt, captured by Spot-4 and Landsat-8 satellites, respectively. The results imply that the proposed hybrid methods provide better qualitative and quantitative results compared to the individual and the common pan-sharpening methods.
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Thanks a lot for NARSS organization as it supports and provides me with SPOT-4 and Landsat-8 satellite images and theoretical background.
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Talal, T.M., Attiya, G., Metwalli, M.R. et al. Two Efficient Hybrid Methods for Enhancing Pan-Sharpening of Multi-spectral Images Transmitted from Satellite to Ground Stations. J Indian Soc Remote Sens 47, 1245–1255 (2019). https://doi.org/10.1007/s12524-019-00970-2
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DOI: https://doi.org/10.1007/s12524-019-00970-2