The multi - sensor image fusion technology can acquire a more comprehensive , more accurate and more reliable image,in order to understand the scene or recognize the target more easily . However,most existing algorithms are mainly based on optical remote se nsing images,supplemented by synthetic aperture radar (SAR) images ,but optical remote sensing images are highly susceptible by environmental condition and media interference. T he image fusion between SAR images and panchromatic (PAN) images also cannot save the textural feature of irregular area and the color information of regular area at the same time . In view of the se problem s, a multi - sensor image fusion algorithm based on local feature difference is proposed in this paper . Firstly,t he SAR image is divided into regular area and irregular are a by a new adaptive segmentation method. Secondly,the feature coefficients of the two areas are extracted using shift invariance discrete w avelet transform (SIDWT).And according to local feature,a new fusion rule is designed to fuse the corresponding w avelet coefficients of SAR image and PAN image.Finally,the fused image is got after inverse wavelet transform with new wavelet coefficients.Experimental results demonstrat e the effectiveness of the proposed algorithm on both the subjective and objective evaluations,such as clarity and information content.