Abstract: Many methods are present in literature for pan-sharpening of satellite images: they permit to transfer geometric resolution of panchromatic data to multispectral ones, but the results of their application are different. To evaluate the quality of these products, visual analysis is carried out, above all on the RGB composition to detect colour distortion. To quantize the level of similarity of the pan-sharpened images with them that should be achieved with effective more effective sensors, several indices are available such as: RMSE, correlation coefficients, UIQI, RASE. The principal limit of these indices consists in the terms of comparison because they compare the pansharpened images with the original ones that are with lower resolution. To supply the unavailability of the effective dataset with the same pixel dimensions of the pan-sharpened files, synthetic sensors can be introduced with lower resolution than the original ones. The correspondent degraded images can be submitted to pan-sharpening process and the results can be considered performed if similar to the original multispectral dataset. In this study IKONOS synthetic sensors are introduced to compare different methods: transforming the digital numbers into the radiance of the earth surface, original images of Campania Region are degraded and then submitted to some pan-sharpening approaches. The following methods are considered: multiplicative, simple mean, IHS, Fast IHS, Brovey, Weighted Brovey, Gram Schmidt, Zhang. Each resulting dataset is compared with the original multispectral one to evaluate the performance of each method.
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