Blurred Free Wavelet Based Image Fusion Analysis

Abstract

There are different cases that high spectral and spatial resolution are needed both together, but the instruments presented now can’t produce such data because of several limitations. One solution to get such data is data fusion. There are some methods to merge panchromatic (high spatial resolution) and multispectral data (high spectral resolution). Some of more common methods are based on getting Principle Component (PC), Brovey method, IHS (Intensity-Hue-Saturation) transform, Hex cone These methods change the spectral characteristics very much, so aren’t appropriate to merge the images. Here we use a method based on wavelet multi resolution decomposition to merge the panchromatic band) and multispectral bands. The correlations between the merged images and the original ones show that the proposed method can preserve the spectral characteristics more than the others. Using wavelet based image fusion leads to that spectral post processing such as classification is done more precisely. So this method is preferred. in the combined images