The traditional remote sensing image fusion methods is not make good use of spatial information of the low-resolution multispectral images. To solve this problem, a novel remote sensing image fusion method based on low-resolution multispectral image super-resolution processing is proposed. The low-resolution multispectral image is processed by super- resolution based on sparse representation, which enhances spatial information while maintaining the spectral information. The intensity component Y of the enhanced multispectral image and the panchromatic image are fused using the stationary wavelet transform. The fused multispectral image is obtained via inverse YUV transform. The experimental results carried out on real remote sensing images show that the proposed algorithm is able to improve spatial details of the fused image effectively while maintaining the spectral information. The effectiveness of the proposed method is also verified by the comparable experiments.