Image fusion can obtain the richer level and detail information, which is beneficial to the effective acquisition of the detection target information. It is of great significance in applications including 3D reconstruction of space targets. A multi-exposure image fusion method that the non-linear compression of information entropy was used to determine the image fusion weight and the bilateral filter residual was introduced to enhance the weight of the weak texture for the wide dynamic range of space objects proposed. It effectively increased the feature information of the image and the number of 3D reconstruction cloud points. The space object imaging experiment was carried out by using the fusion method. The number of reconstructed point clouds obtained was improved by 35% compared with well-exposure and the reconstruction results were better than other methods. The results show that 3D reconstruction algorithm based on image sequence combined with image fusion could effectively enhance the reconstructed image information and avoid the adverse effects of illumination conditions on the three-dimensional reconstruction of the target, resulting in high quality reconstruction effect, the method can be well applied to the three-dimensional reconstruction of space targets based on image sequences.