Abstract: In the course of the fusion of remote sensing images,the retaining of the spatial information of panchromatic images is mutually contradictory with the preserving of the spectral information of multi-spectral images．So it has been being a research hotspot how to achieve the best fusion result within this paradox in image fusion fields．A new selective fusion method based on morphology and contourlet transform was proposed in this paper,which aims at the fusion of images that have several kinds of surface features．In this algorithm,the edge information of the image is distinguished to the non-edge by morphology,after that the contourlet transform is conducted to get the approximate components and a series of detail components,then the approximate images and detail images are infused selectively in contourlet coefficients domain by applying different fusion rules based on proper criteria,and finally the resultant image is obtained by inverse contourlet transform and inverse IHS transform．The results of the fusion experiment show that the proposed algorithm is feasible and effective for the fusion of remote sensing images that have different surface features.

Key words: Remote sensing image,Image fusion,Morphology,Contourlet transform,Local feature