A remote sensing image fusion method based on Shearlet transform and region segmentation is propo sed.First,the multi-spectral image is transformed into hue-intensity-saturation (HIS) color space.The intensity component of the multi-spectral image and the panchromatic image are decompose d by Shearlet transform to obtain low frequency and high frequency information images.Second,the low freque ncy parts of multi-spectral image are segmented into regions by means of thresholds method. The results show that the proposed algorithm can not only retain the spectrum in formation source by the multi-spectral image,but also improve the spatial detail information.