Multispectral and Panchromatic Images Fusion Based on Directionlets
基于Directionlets和PCA的多光谱与全色图像融合

The directionlets based on digital segments and integer grids theory can not only inherit the characteristics of dimension-dependable wavelets,but also obtain the flexible multi-directional characteristic by changing the directions of transform and sequences.A novel fusion method for panchromatic and multispectral images based on directionlets transform(DT) and PCA was presented.Firstly,a linear principle component analysis(PCA) was performed on the multispectral images to extract its first principle component,then we used DT to extract the spatial detail information of high-resolution panchromatic image.Therefore,the fused image can carry more spatial and spectral information.Experimental results show the new fusion method has a better performance,such as universal image quality index(UIQI),unique score index Q4 and average gradient,than wavelet based methods.