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基于非参估计的局部滑窗双参CFAR目标检测
引用本文:曹琦,安俊峰,陈祥雷,刘彬. 基于非参估计的局部滑窗双参CFAR目标检测[J]. 现代防御技术, 2011, 39(5): 125-128,132. DOI: 10.3969/j.issn.1009-086x.2011.05.024
作者姓名:曹琦  安俊峰  陈祥雷  刘彬
作者单位:中国人民解放军95916部队,湖北,武汉,430077
基金项目:国家863项目(2007AA701206)
摘    要:针对特定杂波概率模型不能有效的描述SAR图像背景杂波这一问题,提出了一种基于非参估计的局部滑窗双参CFAR目标检测算法。该方法首先用非参估计方法逼近SAR图像局部背景,完成对局部背景的精确建模;在此基础上,理论推导了局部双参CFAR检测算法的阈值,设计了阈值求解的数值算法。对典型目标图像进行实验,结果表明,该方法检测速度较快、精度较高。

关 键 词:非参估计  双参CFAR  SAR目标检测  图像处理

Target Detection of Local Gliding Window Two Parameter CFAR Based on Non-Parameter Estimation
CAO Qi,AN Jun-feng,CHEN Xiang-lei,LIU Bin. Target Detection of Local Gliding Window Two Parameter CFAR Based on Non-Parameter Estimation[J]. Modern Defence Technology, 2011, 39(5): 125-128,132. DOI: 10.3969/j.issn.1009-086x.2011.05.024
Authors:CAO Qi  AN Jun-feng  CHEN Xiang-lei  LIU Bin
Affiliation:CAO Qi,AN Jun-feng,CHEN Xiang-lei,LIU Bin(PLA,No.95997 Troop,Hubei Wuhan 430077,China)
Abstract:For certain probabilistic model can't describe SAR image's background effectively,a target detecting algorithm of local gliding window two parameter CFARs based on non-parameter estimation is proposed.The method of non-parameter estimation is used to approximate the local background and complete the accurate model of SAR image.The threshold of local two-parameter CFAR is deduced theoretically,and numerical solution of it is also designed.Experiment of typical target images is carried out to show the rapidit...
Keywords:non-parameter estimation  two-parameter CFAR  SAR target detection  image processing  
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