针对天基观测星图的特点，分析了星空背景下运动小目标检测算法超时和虚警率过高的原因，引入并改进了 MTI滤波器对序列星图进行处理，避免了恒星识别的繁重计算；改进了小目标关联算法结构，在精确度较高的情况下较大范围地提高了算法效率。实验结果表明，改进算法耗时大大减少，能够有效控制算法超时和虚警率过高的风险，满足天基观测星图运动小目标轨迹检测的工程实际需要。

For the features of the space-based starry images, this paper analyzed the reason of algorithm timeout and high false alarm when detecting the orbits of moving objects under the starry background. The heavy computing of stellar identification is avoided by introducing and improving the Moving Target Indicator (MTI) filter to process the sequence starry-images. At the same time, we changed the algorithm structure from DBT to TBD and largely improved the algorithm speed under high precision. The simulation shows that the improved algorithm has the character of low time consumption, and we can use it to control the algorithm timeout and high false alarm, which meets the project needs for space-based starry-images moving objects orbits detecting.