›› 2013, Vol. 26 ›› Issue (1): 1-.

• 论文 •    下一篇

云杂波背景下红外弱小目标的改进检测算法

靳振华,沈强,王旭,邵晓鹏   

  1. (西安电子科技大学 技术物理学院,陕西 西安 710071)
  • 出版日期:2013-01-15 发布日期:2013-03-08
  • 通讯作者: 王旭(1989—),女,硕士研究生。研究方向:弱小目标检测算法。E-mail:1032604130@qq.com
  • 作者简介:靳振华(1987—),男,硕士研究生。研究方向:红外成像。
  • 基金资助:

    国防预研基金资助项目(9140A01060110DZ0125)

Improved Infrared Dim Target Detection Algorithm for Cloud Clutter

JIN Zhen-Hua, SHEN Qiang, WANG Xu, SHAO Xiao-Peng   

  1. (School of Technical Physics,Xidian University,Xi'an 710071,China)
  • Online:2013-01-15 Published:2013-03-08

摘要:

根据目标和背景的时域特性,建立了不同像素类型的时域模型。提出了一种基于时域廓线的云杂波背景下红外弱小目标的一种改进算法。首先,采用基于时域方差滤波预处理方法,滤除平稳背景;然后采用基于时域廓线的目标检测方法,根据时域剖面线上的拐点值变化,转化为大小相当的正负脉冲来检测目标。理论分析和实验结果表明,文中算法对于不同云杂波背景具有广泛的适应性。

关键词: 红外弱小目标, 时域廓线, 目标检测, 时域方差

Abstract:

The temporal models for different pixel type are given according to temporal characteristics of the target and background.An improved algorithm for temporal profile detection of infrared dim and small targets on background clutters is presented.Firstly,the background suppression procession algorithm based on temporal variance is adopted to filter stable background from the image.Secondly,the detection is transformed into the detection the positive and negative pulse whose value is approximated to acquire the moving trace of targets.The theoretical analysis and the experimental result prove that this algorithm has a good performance for various background clutters.

Key words: infrared dim and small targets;temporal profile;target detection;temporal variance

中图分类号: 

  • TN219