Effective technique based on intensity huge saturation and standard variation for image fusion of satellite images

Abstract

Image fusion is combining the images for the benefit of information obtained from multiple domains. The purpose of image fusion is to extract the necessary data from multiple images to create composite images. The fused images are to occupy less space for storage, less bandwidth for transmission and less time for transmission of images. The Multi-Spectral satellite images contain several groups of the low resolution and the limited data. These groups’ images and Panchromatic images merge into a fused image that has common data for all the groups, but existing image fusion techniques are influenced by the colour degradation. The purpose of the study is to enhance the spectral and the spatial data of the satellite images using IHS and standard variation method. In this paper, we investigated groupings of the estimations that are used to calculate the execution of the entwined image things. The proposed technique shows the superior performance than the existing image fusion methods.