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云杂波背景图像序列中小目标检测算法研究 被引量：5

Detection Algorithm for Small Target in Cluttered Cloud Background Image Sequences
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摘要 云杂波背景图像序列中运动小目标的实时检测算法,是红外精确制导系统中的关键算法之一。首先对云杂波背景图像像素进行分类分析,研究了两种最大顺序滤波器和利用序列图像中像素时域剖面检测小目标的自适应方差滤波器算法,继而提出了一种适合云杂波背景的小目标检测算法。使用此算法对两组真实图像序列中运动小目标进行检测,根据对检测结果的分析,指出此算法可有效地完成检测任务,并且具有运算简单、存储量小、可并行实现、实时性好等特点。最后提出了后续工作的方向。 The real-time detection algorithm of dim small moving target in cluttered cloud background image sequences is one of key algorithms in IR precise homing systems. This paper analyzes the image pixels in cluttered cloud background image sequences, two max order filters and adaptive variance filter suited for the point target detection from temporal profile of the image sequences, and then presents an algorithm suited for the small target in the cloud image sequences. With the result of real image data experiments, it can be pointed out that it is a simple, less memory, parallelizable and real time algorithm. Finally based on the analysis of the experiment results, we point out the future work.
作者 张兵 卢焕章
机构地区 国防科技大学电子科学与工程学院ATR实验室
出处 《红外技术》 CSCD 北大核心 2004年第6期66-71,共6页 Infrared Technology
关键词 杂波 测算法 小目标检测 顺序滤波 像素 背景图像 滤波器 并行实现 序列图像 图像序列 cluttered cloud image,dim small target,detection algorithm
分类号 TN823 [电子电信—信息与通信工程] TP391 [自动化与计算机技术—计算机应用技术]
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参考文献11

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同被引文献49

  • 1顾静良,张卫,万敏.基于灰度形态学和邻域熵值的弱小目标检测[J].强激光与粒子束,2004,16(12):1527-1530. 被引量：22
  • 2顾静良,万敏,张卫,郑捷.基于小波变换和数据融合技术的弱小目标检测[J].强激光与粒子束,2005,17(7):983-986. 被引量：8
  • 3杨莘元,赵忠凯,蒲书缙.基于多结构元素灰度形态学的红外背景估计算法[J].哈尔滨工程大学学报,2005,26(6):796-799. 被引量：8
  • 4Suyog D. Deshpande, M, H. Er, V. Ronda, et al. Max-Mean and Max-Median filters for detection of small - targets[C]//Denver, Colorado; SPIE, 1999, 3809: 74-83.
  • 5Michielsen K . De Raedt H. Integral-geometry morphological image analysis[J]. Physics Reports, 2001, 347: 461-538.
  • 6Maragos P, Schafer R W.Morphological filters-part Ⅰ: Their set-theoretic analysis and relations to linear shift-invariant filters[J]. IEEE Trans, 1987, ASSP-35(8): 1153-1169.
  • 7Maragos P, Schafer R W.Morphological filters-part Ⅱ: Their relations to median, order statistic, and stack filters[J]. IEEE Trans, 1987, ASSP-35(8): 1170-1184.
  • 8[2]Silve I,Mooney J M,Cafer C E.Temporal filters for tracking weak slow point targets in evolving cloud clutter.Infared Physics and Tech-nology,1996;37(6):695-710
  • 9[3]Lim ET,Deshpande SD,Chan C W,et al.Dim point target detection in IR imagery using multistnge IIR filter.In Proceedings of the SPIE Conference On Acquisition,Tracking and Pointing,Orlando,Florida,USA;2000;4025:194-202
  • 10[4]Tzannes A P,Brooks D H.Point target detection in IR image se-quences,a hypothesis-testing approach based on target and clutter temporal profile modeling.Optical Engineering,2000;39(8):2270-2278

引证文献5

二级引证文献32

红外技术
2004年 第6期

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