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凝视观测图像空间弱小目标检测方法
引用本文:王鲲鹏,马超伟,侯旺,王东亚.凝视观测图像空间弱小目标检测方法[J].应用光学,2014,35(4):614-618.
作者姓名:王鲲鹏  马超伟  侯旺  王东亚
作者单位:1.北京跟踪与通信技术研究所,北京 100094;
基金项目:国家部委资助项目(2013CB733100)
摘    要:针对凝视观测模式下光测图像中弱小目标的检测问题,提出一种多帧频域特征累积的目标检测方法。利用恒星匹配、临帧差分等方法消除背景变化的影响,通过图像时频域特征分析,推导出递归形式频域特征累积方程,并由此检测图像中的弱小目标。实验结果表明采用多帧频域特征累积方法能将图像信噪比提高3倍以上,有利于检测出弱小目标。

关 键 词:凝视观测    目标检测    背景消除    时频分析
收稿时间:2014/3/14

Space object detection method for observation image in stare mode
Wang Kun-peng,Ma Chao-wei,Hou Wang,Wang Dong-ya.Space object detection method for observation image in stare mode[J].Journal of Applied Optics,2014,35(4):614-618.
Authors:Wang Kun-peng  Ma Chao-wei  Hou Wang  Wang Dong-ya
Affiliation:1.Beijing Institute of Tracking and Telecommunications Technology,Beijing 100094,China;2.School ofInformation and Electronics,Beijing Institute of Technology,Beijing 100081,China;3.College of AerospaceScience and Engineering,National University of Defense Technology,Changsha 410073,China
Abstract:Aiming at the problem of tiny object detection in stare observation image sequence, a new method based on frequency feature accumulation was proposed. First, star matching and difference of neighbor frames were used to eliminate background of images, and then by analyzing time-frequency feature, the method for accumulating frequency feature of image was applied in tiny object detection. The experiment shows that the method proposed can increase the signal-noise ratio (SNR) of image by 3 times, and favors tiny object detection.
Keywords:stare mode  object detection  background elimination  time-frequency analysis
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