In SAR scene matching guidance system based on local invariant feature, the real-time performance of the matching of the local invariant feature points is of great engineering significance.A new scene matching algorithm based on two-tier matching strategy is proposed to improve the speed of scene matching algorithm.First, the first-level and the second-level feature points are extracted respectively from the real-time and reference images according to the threshold value.Then, make each of the second-level feature point subordinate to the closest first-level feature point according to their distance.Further, the first-level feature points are described by SIFT descriptor and using nearest neighbor method based on kd-tree to achieve the initial matching of the first-level feature points.RANSAC algorithm is utilized to get rid of the error matches.Finally, the second-level feature points which are subordinate to the first-level feature points after eliminating the false matching points are described by BRIEF descriptor and then are matched.Experimental results show that the matching speed of feature points is improved.