Different imaging mechanism of Synthetic Aperture Radar (SAR) and visible images in the general fusion methods make it difficult to achieve good fusion effect. For the target recognition, firstly get fusion image by Nonsubsampled Contourlet Transform (NSCT) to fuse the important objective information of SAR image into visible image, and retain detail information as much as possible. Then, combine mathematical morphology with multiscale space theory to get the bright and dark detail features of the original images. Finally, obtain fused image with significantly enhanced bright and dark detail features. Experimental result shows that the proposed algorithm can effectively fuse target information of SAR image, enhance the detail features of the source image, achieve a better visual effect, and improve the capability of target detection and identification.