期刊文献+

一种有效的红外弱小目标DBT算法研究 被引量:3

An Effective Detect-Before-Track Algorithm for Infrared Small Target
下载PDF
导出
摘要 作为红外自寻的制导、搜索跟踪和预警等领域的一项关键技术,红外弱小目标检测与跟踪成了红外图像处理领域中的一项重要研究课题。本文采用了"先检测后跟踪(DBT)"的思想对红外小目标进行检测与跟踪,首先采用基于各向异性偏微分方程的背景抑制技术对单帧图像进行抑制,再用最大绝对对比度阈值对红外图像进行分割,最后采用形心跟踪法对小目标点坐标定位。试验证明本文算法应用于目标检测的可行性和有效性。 As key techniques in infrared(IR) homing guidance,target search and tracking,warming and so on,IR small target detection and tracking have been regarded as an important research topics in the filed of IR image processing.In this paper,An effective detect-before-track Algorithm is used to detect and track the infrared small target.First,the anisotropic diffusion method is adopted to suppress the every single frame image,then,using the threshold algorithm to depart the image,At last,the coordinate of small target is calculated using the gravity center algorithm.The experiments show that the system has the features with good available performance and high efficiency.
出处 《指挥控制与仿真》 2011年第3期43-45,53,共4页 Command Control & Simulation
关键词 红外小目标 先检测后跟踪 背景抑制 图像分割 目标跟踪 infrared small target detect before track background suppression image segmentation target tracking
  • 相关文献

参考文献3

二级参考文献4

  • 1RhccdCll D R V,Jones R A.Noise effects on centroid tracker aim point estmation. IEEE Trans on Aerospace and Electronic Systems ,1988,24(2)
  • 2Bar--Shalom Y,Shertukde H H. Precision target tracking for small extended objects. Optical Engineering, 1990, 29(2)
  • 3粱晋文,陈林才,何贡.误差理论与数据处理.北京:中国计量出版社,2001
  • 4李晓峰,胡渝.空间光通信ATP系统设计中的基本概念及关键参数探讨[J].应用光学,2003,24(3):11-13. 被引量:11

共引文献10

同被引文献15

  • 1罗钟铉,刘成明.灰度图像匹配的快速算法[J].计算机辅助设计与图形学学报,2005,17(5):966-970. 被引量:72
  • 2Inggs, Robinson. Ship Target Recognition Using Low Res- olution Radar and Neural Network [ J ]. IEEE Transac- tions, 1999, volume35,386-393.
  • 3M Tello, A Novel Algorithm for Ship Detection in SAR Imagery Based on the Wavelet Transform [ J ] , IEEE Geo- science and Remote Sensing Letters ,2005,2:201-205.
  • 4C Corbane, Marre F, Using SPOT-5 HRG Data in Pan- chromatic Mode for Operational Detection of Small Ships in Tropical Area [ J ]. Sensors, 2008 ( 8 ) : 2959-2973.
  • 5J. Mattes, J. Demongeot. Efficient Algorithms to Imple- ment the Confinement Tree [ J ]. Springer,2000:392-405.
  • 6R. Jones. Component Trees for Image Filtering and Seg- mentation[ J]. In NSIP'97,1997.
  • 7Jones, R. Connected Filtering and Segmentation Using Component Trees [ J ]. Computer Vision and Image Under- standing, 75 : 215-228.
  • 8R. E. Tarjan. Efficiency of a Good but not Linear Set U- nion Algorithm [ J ]. Journal of the ACM, 1975, 22: 215-225.
  • 9L. Najman, M. Couprie. Building the Component Tree in Quasi-linear Time[ J]. IEEE, 2006, Transactions on Im- age Processing, 15:3531-3539.
  • 10赵英海,吴秀清,闻凌云,徐守时.可见光遥感图像中舰船目标检测方法[J].光电工程,2008,35(8):102-106. 被引量:26

引证文献3

二级引证文献10

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部