According to NSCT with high complexity, long computing time andSnon-conformance to real-time, this paper puts forward introducing algorithm based on Shearlet transform and sparse representation into remote sensing image fusion.Through Shearlet transform original images are divided into low and high frequency subbands. Using the rule of regional energy to fuse the former and the rule of PCNN to fuse the latter; Finally, the new multi spectral image can be obtained by the Shearlet inverse transform.Experimental results show that compared with the NSCT and classical algorithm, the new method not only effectively improves the quality of image fusion, but also increases the speed of the algorithm and has good real-time performance.