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深空大视场弱小目标的实时检测方法
引用本文:周进,吴钦章.深空大视场弱小目标的实时检测方法[J].光学技术,2006,32(1):134-137.
作者姓名:周进  吴钦章
作者单位:中国科学院光电技术研究所,中国科学院研究生院,四川,成都,610209
摘    要:根据深空背景的特点,提出了采用最大中值滤波降噪,基于USAN原则,即吸收同值核区(Univalue Seg-ment Assimilating Nucleus)原则进行弱小目标检测的算法。其中分析了USAN滤波模板大小对检测性能的影响,探讨了灰度差门限的自适应选取方法,并根据目标和背景杂波在灰度分布上的差异,进一步剔除背景杂波的残留。结合候选目标的特征,采用基于逻辑的最近邻关联方法提取目标航迹。

关 键 词:目标检测  最大中值滤波  USAN滤波
文章编号:1002-1582(2006)01-0134-04
收稿时间:2004/9/9
修稿时间:2004年9月9日

A real-time dim target detection algorithm in large field and deep sky
ZHOU Jin,WU Qin-zhang.A real-time dim target detection algorithm in large field and deep sky[J].Optical Technique,2006,32(1):134-137.
Authors:ZHOU Jin  WU Qin-zhang
Abstract:A real-time dim target detection algorithm in large field and deep sky was presented that adopted USAN filtering following depressing noise using Max-Mean filter.Influence of the size of USAN filter to the performance of detection and the selecting of the threshold of gray difference was analyzed.The leaving of the background clutter was eliminated by the gray distribution difference of target and background clutter.An algorithm of track initiation and data association based on logic principle and the characteristic of target was presented.
Keywords:target detection  max-median filter  USAN filter
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