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在深入分析监测设备CCD图像特点的基础上,提出了一种深空背景弱小运动目标检测新方法。该算法使用“列高通滤波器”进行背景抑制;采用序列图像多帧累加增强目标与恒星的对比度,用交叉投影法确定星点区域,提取局部星图,利用局部星图匹配剔除恒星干扰;结合候选目标的特征,采用基于逻辑的最近邻关联方法完成目标检测。结果表明,该算法可满足深空背景弱小运动目标实时检测的要求。
Based on the in-depth analysis of the characteristics of the CCD image of the monitoring equipment, a new method for detecting weak moving targets in deep space is proposed. The algorithm uses the “column high-pass filter” for background suppression; the sequential image multi-frame accumulation is used to enhance the contrast between the target and the stellar; the cross-projection method is used to determine the area of the star point; the local star map is extracted; the local star map is used to eliminate the star interference Combining with the characteristics of the candidate target, the target detection is accomplished by using the logic-based nearest neighbor correlation method. The results show that the algorithm can meet the requirements of real-time detection of weak moving targets in deep space.