地球同步轨道碎片观测图像分级检测方法

发布时间：2018-12-13 08:39

【摘要】：为了快速检测出地球同步轨道带光学观测图像中的空间碎片,提出了一种基于信噪比的分级检测方法.首先分析实测数据,得出观测图像中不同信噪比碎片运动相似的特性.对于高信噪比碎片,采取帧差法快速检测,并利用多帧图像计算速度信息;对于低信噪比碎片,根据高信噪比碎片检测结果得到的速度信息,采用改进的动态规划检测方法.实际图像检测结果表明:当递归方程的搜索窗口为5pixel×5pixel时,分级检测方法检测性能最好;当累积帧数大于5帧时,检测时间比传统动态规划方法减少了87%以上.分级检测方法具有检测率高、虚警率低、计算量小的优势,适合地球同步轨道带光学观测图像中空间碎片的检测.
[Abstract]:In order to quickly detect the space debris in the optical observation images of geosynchronous orbital zone, a hierarchical detection method based on signal-to-noise ratio (SNR) is proposed. By analyzing the measured data, the characteristics of the motion similarity of different SNR fragments in the observed images are obtained. For high signal-to-noise ratio (SNR) fragments, the frame difference method is used to detect the high SNR fragments and the multi-frame images are used to calculate the velocity information. For the low SNR fragments, the improved dynamic programming detection method is adopted according to the velocity information obtained from the high SNR debris detection results. The actual image detection results show that when the search window of recursive equation is 5pixel 脳 5pixel, the performance of hierarchical detection is the best, and when the cumulative frame number is more than 5 frames, the detection time is reduced by more than 87% compared with the traditional dynamic programming method. The hierarchical detection method has the advantages of high detection rate, low false alarm rate and less computation, so it is suitable for space debris detection in the optical observation images of the geosynchronous orbit zone.
【作者单位】：北京跟踪与通信技术研究所;
【基金】：国家高技术研究发展计划(No.2015AA7088061)资助~~
【分类号】：TP391.41

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