景像匹配过程的复杂性不可避免地会产生误匹配点。基于巡航导弹机动性能的规律，巡航导弹飞越一个匹配区得到的各个匹配点的似合曲线具有一定的变化规律。据此，提出了影像匹配误匹配点剔除的3种算法：⑴基于匹配点拟合曲线曲率较小的算法；⑵基于匹配点拟合曲线为直线的算法；⑶利用惯性导航短时间测量距离的精确性剔除误匹配点的方法。采用试飞试验数据对这3种算法进行仿真验证的结果表明，这3种算法在相应条件下，均能有效地剔除误匹配点，并能满足影像匹配实时怀的要求。

Mismatching points are inevitable in scene matching because of the complexity of the matching conditions. In order to improve the reliability of scene matching guidance system, it is necessary to develop the methods of automatic recognition and elimination of the mismatching points. Due to the limitations of the aircraft maneuverability, the flight paths are rather smooth, and sometimes are linear, especially during the process of scene matching. So the relationships among the correct matching points in one matching area are regular. Three algorithms are developed according to the changing regulation of the fitting curve of matching points. The three algorithms are as follows: (1) on the basis of small curvature of the fitting curve of the matching points; (2) on the basis of the linear curve generated by the matching points; (3) taking advantage of the accuracy of the distance-measurement accuracy of INS in short period of time. These three algorithms are tested by the data gained in flight-test, and the results show that, all of the three algorithms can distinguish and eliminate the mismatching points effectively and can meet the need of real-time ability of the matching system, though the real-time ability, adaptability and reliability are somewhat different. The proper algorithm should be selected according to the practice conditions in flight, and algorithms (1) and (3) or algorithms (2) and (3) can be fused according to the matching conditions to improve the eliminating trustability of the mismatching points.