Utilizing the Contourlet’s advantages of multi-scale

localization directionality and anisotropy

a remote Sensing multi spectral and panchromatic image fusion algorithm based on morphology and Contourlet transform is developed.Firstly

the multi-spectral image is transformed by IHS transform. Secondly

panchromatic images and the component I of the multi-spectral image are decomposed to the domain of the Contourlet transform.The image fusion is then implemented in different subbands. A new edge fusion algorithm based on the morphology grad operator is adopted as fusion rules in lowpass subbands and region standard variance is adopted as fusion rules in highpass subbands.Furthermore

the consistency check based on the morphology is proposed. Finally

the stretched grayscale fused image replaces the original intensity component

and the final fused image is achieved using the inverse IHS transform.The experimental results show that

the proposed fusion method can integrate the information and retain the features of source images more effectively compared with the traditional algorithm.