A survey on fusion of multispectral and panchromatic images for high spatial and spectral information

The purpose of satellite image fusion of multispectral and panchromatic images is a method to combine the desirable characteristic of high spatial panchromatic (PAN) image and low spatial multispectral (MS) image to obtain single multispectral image with high spatial resolution and high spectral resolution. This paper furnish a survey on various image fusion algorithms of MS and PAN images such as, Brovey transform, Intensity-Hue-Saturation (IHS) transform, Principal Component Analysis (PCA), Highpass Filtering, Wavelet transform, Integration of different transform methods with IHS, fusion method based on PCA and feature product of Wavelet transform, Fourier transform, General Intensity- Hue-Saturation (GIHS) transform, Optimal Filter design, modified Wavelet Averaging Merging method and modified Bi-cubic Interpolation method in non Subsampled Contourlet transform, improved IHS and PCA merges based on Wavelet decomposition, etc.