K分布下极化SAR图像CFAR检测新方法

doi:10.3969/j.issn.0372-2112.2019.04.018

电子学报 ›› 2019, Vol. 47 ›› Issue (4): 896-906.DOI: 10.3969/j.issn.0372-2112.2019.04.018

K分布下极化SAR图像CFAR检测新方法

张嘉峰^1,2, 张鹏¹, 王明春¹, 刘涛¹

1. 海军工程大学电子工程学院, 湖北武汉 430030;
2. 中国人民解放军92118部队, 浙江舟山 316000

收稿日期:2017-01-23 修回日期:2018-07-25 出版日期:2019-04-25
- 通讯作者:
- 刘涛
- 作者简介:
- 张嘉峰 男.1993年1月出生,河北邯郸人.2017年硕士毕业于海军工程大学信号与信息处理专业.现为中国人民解放军92118部队助理工程师.主要研究方向为雷达极化信息处理、新体制雷达技术及电子战建模与仿真.E-mail:751971863@qq.com;张鹏男.1996年生于安徽蒙城.现为海军工程大学硕士研究生.主要研究方向为雷达极化信息处理、新体制雷达技术及电子战建模与仿真.E-mail:zhangpeng212121@163.com
- 基金资助:
- 国家自然科学基金 (No.61372165，No.61771483）

A Novel CFAR Detection Algorithm in K-Distributed Clutter for Polarimetric SAR Imagery

ZHANG Jia-feng^1,2, ZHANG Peng¹, WANG Ming-chun¹, LIU Tao¹

1. School of Electronic Engineering, Naval University of Engineering, Wuhan, Hubei 430030, China;
2. No. 92118 Unit of PLA, Zhoushan, Zhejiang 316000, China

Received:2017-01-23 Revised:2018-07-25 Online:2019-04-25 Published:2019-04-25
- Supported by:
- National Natural Science Foundation of China (No.61372165, No.61771483)

摘要/Abstract

摘要： 在极化合成孔径雷达（PolSAR）图像杂波服从K分布下，已有的基于多视极化白化滤波器（MPWF）的恒虚警（CFAR）检测方法不适用于等效视数为非整数情形.针对此问题，提出了一种具有解析虚警概率表达式的CFAR检测方法.在乘积模型下引入Gamma分布纹理变量后，对MPWF检测量的概率密度函数（PDF）积分得到其累积分布函数（CDF），进而得到虚警概率关于检测门限的解析形式.仿真实验结果表明新方法良好的虚警拟合效果，此外在目标杂波比（TCR）较大时，新方法检测概率更高，反之，检测概率低于已有方法.需说明的是，目前K分布下多视极化匹配滤波（MPMF）检测方法的虚警概率表达式存在错误，因此对K分布下的MPMF检测方法进行了修正并推导出了正确的虚警表达式.

关键词: 恒虚警(CFAR)检测, 等效视数, K分布, 多视极化白化滤波(MPWF), 多视极化匹配滤波(MPMF), 目标杂波比(TCR)

Abstract: In the case that the clutter of the polarimetric synthetic aperture radar (PolSAR) imagery follows K distribution,the existing constant false alarm rate (CFAR) detection algorithms based on multi-look polarization whitening filter (MPWF) cannot be applied to the condition that the equivalent number of looks is a non-integer.To solve the problem,a CFAR detection algorithm with analytical false alarm probability expression is proposed.After introducing the Gamma distribution texture under the product model,the probability distribution function (PDF) of the MPWF metric is integrated to obtain its cumulative distribution function (CDF),and then the analytical form of the false alarm probability with respect to the detection threshold is obtained.The simulation results show that the new algorithm has a good false alarm fitting effect.In addition,when the target clutter ratio (TCR) is large,the new algorithm has a higher detection probability.Otherwise,the detection probability is lower than the existing algorithm.It is worth pointing out that the current false alarm probability expression of multi-look polarization matched filter (MPMF) under K distribution is wrong,so the current detection algorithm based on MPMF detection metric is modified and the correct expression of the false alarm probability is derived.

Key words: CFAR detection, the equivalent number of looks, K distribution, MPWF, MPMF, target clutter ratio

中图分类号:

TN95

张嘉峰, 张鹏, 王明春, 等. K分布下极化SAR图像CFAR检测新方法[J]. 电子学报, 2019, 47(4): 896-906.

ZHANG Jia-feng, ZHANG Peng, WANG Ming-chun, et al. A Novel CFAR Detection Algorithm in K-Distributed Clutter for Polarimetric SAR Imagery[J]. Acta Electronica Sinica, 2019, 47(4): 896-906.

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K分布下极化SAR图像CFAR检测新方法

A Novel CFAR Detection Algorithm in K-Distributed Clutter for Polarimetric SAR Imagery

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