In order to overcome the block phenomenon and spectral distortion in the current remote sensing image fusion methods, by introducing the nonsampling contourlet transform, this paper designs a remote sensing image fusion method based on the restriction of energy similarity. HSV transform was applied to multispectral image for extracting its brightness factor from MS image. The different image coefficients of V factor and PAN image were calculated by NSCT transform. The regional energy function was used to measure the image energy information, and the fusion model of low-frequency coefficients was constructed to obtain the fusion low-frequency coefficients with better spectral characteristics. The spatial frequency function was used to measure the detail features of the image, so as to build the fusion model of high-frequency coefficients to obtain the fusion high-frequency coefficients with better definition. Finally, the fusion results were obtained under the inverse transform of HSV and NSCT. The experimental results show that compared with the existing fusion techniques, this algorithm has better fusion effect, and the output image has better spectral characteristics, which effectively reduces the blocking effect.