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基于时域廓线的云杂波背景下红外弱小目标检测 被引量：3

Infrared Dim Small Target Detection Based on Temporal Profile under Cloud Clutters Background
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摘要 根据目标和背景时域特性,建立了目标、云杂波边缘、干净天空背景以及云内部四种像素点的时域模型。并以这四种时域模型为基础,提出了一种云杂波背景下基于时域廓线的弱小目标的检测方法。检测前利用最大中值滤波器进行空域处理,去除了大部分云边缘虚警点。理论分析和实验结果表明,该算法能有效检测出云杂波背景下的小目标。 Temporal models of target, cloud edges, clean sky and cloud are established according to temporal characteristics of target and background. Then a dim small target detection algorithm, based on temporal profile under cloud clutters background, is proposed from four types of temporal models. Largest median value filter is applied to eliminate most of cloud edges points in spatial domain before detection. The theoretical analysis and the experimental result indicate validity of the algorithm in detecting target under cloud clutters background.
作者 徐华 邵晓鹏 刘德连
机构地区 西安电子科技大学技术物理学院
出处 《科学技术与工程》 2008年第3期638-642,共5页 Science Technology and Engineering
基金 西省自然科学基金项目(2006F20)资助
关键词 弱小目标检测 最大中值滤波 时域廓线 云杂波背景 dim small target detection largest median value filter temporal profile cloud clutters background
分类号 TN362 [电子电信—物理电子学]
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参考文献6

  • 1张兵,卢焕章.云杂波背景图像序列中小目标检测算法研究[J].红外技术,2004,26(6):66-71. 被引量：5
  • 2[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
  • 3[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
  • 4[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
  • 5[5]Lim E T,Shue L,Ronda V.Adaptive mean and variance filter for detection of dim point-like targets.Proc of the SPIE Conference on sigmal and Data Processing of Small Targets,Orlando,Florida,USA:SPIE,2002;4728:492-502
  • 6[6]Eng Thiam L,Ronda V.Adaptive mean and variance filter for detec-tion of dim point-like targets.Proc SPIE,2002;4728:492-502

二级参考文献11

  • 1Deshpande S D, Er M H, Ronda V, et al. Max-mean and max-median filters for detection of small targets[A]. Proc. of the SPIE Conference on Signal and Data Processing of Small Targets[C], Orlando, Florida, USA: SPIE, 1999, Vol. 3809: 74～83.
  • 2Ronda V, Er M H, Deshpande S D, etc. Multi-mode algorithm for detection and tracking of point targets[A]. Proc. of the SPIE Conference on Acquisition,Tracking, and Pointing ⅩⅢ[C], Orlando, Florida, USA: SPIE 1999, Vol. 3692: 269～278.
  • 3New W L, Tan M H, Er M H, etc. New method for detection of dim point targets in infrared images[A]. Proc. of the SPIE Conference on Signal and Data Processing of Small Targets[C], Denver, Colorado, USA: SPIE, 1999, Vol. 3809: 141～150.
  • 4Ronda V, New W L, Tan M L, etc. Adaptive threshold based spatio-temporal filtering techniques for detection of small targets[A]. Proc. ofthe SPIE Conference on Signal and Data Processing of Small Targets[C], Orlando, Florida, USA: SPIE 2000, Vol. 4048: 58
  • 5Lim E T, Shue L, Ronda V. Adaptive mean and variance filter for detection of dim point-like targets[A]. Proc. of the SPIE Conference on Signal and Data Processing of Small Targets[C], Orlando, Florida, USA: SPIE, 2002, Vol. 4728: 492～502.
  • 6J. Silverman, C.E. Caefer, S. DiSalvo. Temporal filtering for point target detection in stating IR imagery: Ⅱ. recursive variance filter[A]. Proc. of the SPIE Conference on Signal and Data Processing of Small Targets[C], Orlando, Florida, USA: SPIE, 1998
  • 7Arce G R, Mcloughlin M P. Theoretical Analysis of the Max/Median Filter[J]. IEEE Trans. On ASSP, Vol. 35, No.1, Jan 1987: 60-69.
  • 8Pitas I, Venetsanopoulos A N. Nonlinear Mean Filters in Image Processing[J]. IEEE Trans. On ASSP, Vol. 34, No.3, June 1986: 573-584.
  • 9Li Junwei, Zhu Zhenfu, Liu Zhongling. Small target detection from image sequences using improved recursive max-mean filter[A]. Proc. of the SPIE Conference on Object Detection, Classification, and Tracking Technologies[C], Wuhan, China: SPIE, 2001, Vol. 4
  • 10Guoping Qiu. An improved recursive median filtering scheme for image processing[J]. IEEE Trans. On Image Processing, Vol. 5, No.4, Apr. 1987: 646-648.

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科学技术与工程
2008年 第3期

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