In this paper

a new method of image fusion method was proposed based on principal component analysis(PCA) and wavelet transforms(WT) to fuse a low-resolution multi-spectral image and high-resolution panchromatic image.Firstly

the multi-spectral image is transformed with PCA.Then

the first principal component of multi-spectral image and high-resolution panchromatic image were transformed by WT

respectively.The high-resolution panchromatic image approximation can be merged into the multi-spectral image approximation using antitheses of imaging intensity by means of multi-resolution wavelet decomposition

and then the merged image is reconstructed by inverse wavelet transform and replaces the first principal component of multi-spectral image.Finally

the fusion image is obtained by taking the inverse PCA transform.The experiment indicates that the performance of new method is better than those of IHS transform-based fusion method

PCA transform-based one

and WT transform-based one.It not only preserves spectral information of the original multi-spectral image well

but also enhances spatial detail information.