为开展地球同步轨道(GEO)空间目标监视监测试验，上海天文台在2015年研制了具有超大视场的“地球同步轨道带动态监视光学系统样机”，样机的有效视场达到100平方度。视场内目标数量众多，如何从复杂的观测图像中有效识别出GEO目标是本文研究的重点。GEO目标相对地面静止，恒星相对地面以15″/s的速度运动，提出相邻帧图像差分与航迹关联结合的方法，通过相邻帧图像差分法去除大部分恒星虚警，利用航迹关联确认目标，并将属于同一个目标的观测点位联结。通过对样机实测数据的处理分析，验证了该方法的可行性和准确性，平均每个观测夜晚，可识别视场内超过50个GEO目标，识别准确率超过95%。

In order to carry out the monitoring experiment of Geo-synchronous orbit (GEO) targets, Shanghai As-tronomical Observatory developed an equipment with 100-square-degree field of view, called “optical prototype of Geo-synchronous orbit dynamic monitoring system”. There are a large number of targets in the field of view, how to recognize the GEO targets effectively from the complex observation images is the focus of this paper. GEO targets appear motionless, at a fixed position in the sky, to ground observers. Due to the earth rotation, stars move at a speed of 15″/s relative to the ground observers. We propose the combination of frame difference method and track correlation method. Frame difference method is used to remove a large number of stars from the images, and track correlation method is used to confirm the GEO targets and connect them from different images. The feasibility and accuracy of the method are verified by the analyses of the observation data. The method can recognize more than 50 GEO targets in the field of view at the same time, and the recognition accu-racy exceeds 95%.