近几十年来，针对复杂背景下红外图像序列的天基微弱 运动点目标探测问题备受关注。该问题对于空间监视系 统、预警系统以及导弹跟踪系统等而言十分重要。受各方面的影 响，天基微弱点目标检测、跟踪和识别研究仍然面临着很多挑 战。仪器抖动和平台运动均会造成目标定位偏差。受制于观测距 离和天基成像环境，目标往往会淹没在背景杂波或噪声之中。因此，如 何在低信杂噪比的情况下快速、准确地探测和识别运动点目 标，并满足检测率和虚警率指标，是相关领域亟待解决的问题。 对近年来国内外相关领域的研究进行了分类和总结，以期在此基 础上寻求新的探索和发现。

In recent years, research on detection of space weak moving point targets in infrared image sequences under complex background has attracted much attention. This is of most significance to space surveillance systems, early warning systems and missile tracking systems. For various reasons, the detection, tracking and recognition of space-based dim point targets still face many challenges. Both instrument jitter and platform motion may cause the target positioning to deviate. Because of observation distance and space-based imaging environment, targets may be often submerged in background noise or other kinds of noise. Therefore, how to detect and identify moving targets quickly and accurately in low SNR environment and meet the indexes of detection rate and false alarm rate is the problem to be solved urgently in related fields. The research in related fields at home and abroad in recent years is classified and summarized so as to seek for new exploration and discovery on this basis.