Enhancement and Quality Assessment of Multi-Spectral Image Using Different Fusion Methods

Image Fusion is a process of combining the relevant information from a set of images into a single image, where the resultant fused image will be more informative and complete than any of the input images. Image fusion techniques can improve the quality and increase the application of these data. This paper presents three types of fusion method principle component analysis (PCA), wavelet and P+XS to fuse multispectral and panchromatic land sat image with (30 and 15 ) meter spatial resolution respectively. Many criteria such as (ERGAS, RMSE, RASE, SC) have been applied to evaluate the results.