深空背景弱小运动目标检测算法研究

Research on dim moving target detection algorithm in deep space

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。

After the image characteristic of the surveillance equipment is analyzed,a real-time dim moving target detection algorithm in deep space is brought forward.The algorithm utilizes row high pass filter to suppress background.The algorithm uses multi-frame addition to improve contrast between stars and targets firstly,it uses cross projection to confirm the star＇s position secondly,it uses the star-point matching to eliminate most disturbances of stars thirdly,data association based on logic principle and the characteristic of target are adopted to detect the target finally.Practical application approves that the system perfectly meets the requirements of the real-time dim moving target detection and recognition in deep space.