Image registration is widely used in remote sensing image processing.On one hand ,non-subsamded Contourlet transform (NSCT) has the advantage of decomposing ima ge in a flexible way;on the other hand,cross-cumulative residual entropy (CCRE) is effe ctive in remote sensing image registration.Considering that,we propose a multim odal remote sensing image registration method which is based on cross-cumulative residual entropy and NSCT algorithm.First,the refer ence image and target image are decomposed with NSCT to obtain low frequency images,and then the cross-cumu lative residual entropy of the obtained low frequency images is calculated.Set the cross-cumul ative residual entropy as a similarity measurement.Secondly,Newton′s method is employed to gain optimal parameters of the affine transformation model. Finally,the image registration is obtained with the optimal parameters.To valida te our algorithm,we test two remote sensing images with our method.Simulation results show that the proposed method is able to find the global optimum rapidly and prevent dropping into a local minimum.In general,it is not only a fast and effective multimodal remote sensing image registration algorithm but also the one with hig h registration accuracy.