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深空背景弱小运动目标检测算法研究
引用本文:许永辉,姜守达.深空背景弱小运动目标检测算法研究[J].光学技术,2010,36(2).
作者姓名:许永辉  姜守达
作者单位:哈尔滨工业大学,自动化测试与控制系,黑龙江,哈尔滨,150001
摘    要: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。

关 键 词:深空背景  背景抑制  星图匹配  目标检测

Research on dim moving target detection algorithm in deep space
XU Yong-hui,JIANG Shou-da.Research on dim moving target detection algorithm in deep space[J].Optical Technique,2010,36(2).
Authors:XU Yong-hui  JIANG Shou-da
Institution:Department of Automatic Test and Control;Harbin Institute of Technology;Harbin150001;Heilongjiang;China
Abstract: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 ...
Keywords:deep space  background suppression  star-map matching  target detection  
本文献已被 CNKI 万方数据 等数据库收录!
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