An image restoration algorithm is proposed to restore the images simultaneously degraded by a multiple blur during aerial imaging. Based on the analysis of the physical model of the multiple blur,the multiple blur can be restored by deblurring the every sub-blur step by step. The Point Spread Functions (PSFs) of every space-invariant blur in the multiple blurred images are combined together by convolving all the linear PSFs to reduce the accumulation of calculation errors during the image restoration,so that the multiple blur made up of the space-invariant blurs can be eliminated by a deconvolution restoration. By analyzing the error noise caused by the image restoration,a Wiener filter is applied to suppress the error noise,which can increase the PSNR of the restored image by 7.76. The experiment results show that the PSNR of the image restored by the proposed algorithm based on the PSFs combination has reached 28.09,which ensures the acceptable restoration quality for aerial multiple blurred images.