Beta分布下基于白化滤波的极化SAR图像海面舰船目标CFAR检测方法

doi:10.3969/j.issn.0372-2112.2019.09.010

电子学报 ›› 2019, Vol. 47 ›› Issue (9): 1883-1890.DOI: 10.3969/j.issn.0372-2112.2019.09.010

Beta分布下基于白化滤波的极化SAR图像海面舰船目标CFAR检测方法

王明春¹, 张嘉峰^1,2, 杨子渊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:2018-05-02 修回日期:2019-01-03 出版日期:2019-09-25
- 通讯作者:
- 刘涛
- 作者简介:
- 王明春 男,1993年生于湖南.海军工程大学硕士研究生.主要研究方向为极化SAR图像目标检测方法.E-mail:1752293476@qq.com;张嘉峰 男,1993年生于河北邯郸.现为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;杨子渊 男,1997年生于湖北武汉.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:452949148@qq.com
- 基金资助:
- 国家自然科学基金 (No.61771483，No.61372165）

A CFAR Detection Method of Ship Targets in Polarimetric SAR Imagery Based on Whitening Filter Under Beta Distributed Texture

WANG Ming-chun¹, ZHANG Jia-feng^1,2, YANG Zi-yuan¹, 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:2018-05-02 Revised:2019-01-03 Online:2019-09-25 Published:2019-09-25
- Corresponding author:
- LIU Tao
- Supported by:
- National Natural Science Foundation of China (No.61771483, No.61372165)

摘要/Abstract

摘要： 在杂波纹理服从Beta分布的极化合成孔径雷达（Polarimetric Synthetic Aperture Radar，POLSAR）图像目标检测中，提出了一种基于多视极化白化滤波（Multilook Polarimetric Whitening Filter，MPWF）的恒虚警（Constant False Alarm Rate，CFAR）检测解析新方法.首先，假设乘积模型中纹理变量服从Beta分布，推导得到MPWF检测量的概率密度函数（Probability Density Function，PDF）.然后，对概率密度函数积分得到虚警概率关于检测门限的解析式，并设计相应的CFAR检测流程.最后，提出了基于MPWF的对数累积量估计方法，对Beta分布纹理变量参数u和v进行估计.通过实测数据验证了新方法的有效性.实验结果表明Beta分布对某些区域的极化SAR数据有更好的拟合效果，同时新方法与已有方法相比具有更好的CFAR保持能力.

关键词: 极化合成孔径雷达, 恒虚警检测, Beta分布, 极化白化滤波, 虚警概率解析表达形式

Abstract: A new constant false alarm rate (CFAR) detection analysis method based on multilook polarimetric whitening filter (MPWF) is proposed in polarimetric synthetic aperture radar (POLSAR) imagery when the clutter obeys Beta distributed texture hypothesis. Firstly, the texture variable in the product model obeys Beta distribution is assumed,and the probability density function (PDF) of MPWF output is derived. Then, the analytical formula of probability of false alarm (PFA) is obtained by integrating probability density function (PDF), and the corresponding CFAR process is designed.Finally,a log-cumulants estimation method based on MPWF is proposed to estimate the texture parameters u and v of Beta distribution. The effectiveness of the new method is verified by simulation data and measured data. Simulation results show that Beta distribution has better goodness of fit on some regions in POLSAR images ,and the new method has better CFAR performance compared with the existing methods. The embedded and measured data also show that the new method has better detection performances than the existing methods.

Key words: polarimetric synthetic aperture radar, constant false alarm rate, beta distribution, polarimetric whitening filter, ship detection

中图分类号:

TN95

王明春, 张嘉峰, 杨子渊, 等. Beta分布下基于白化滤波的极化SAR图像海面舰船目标CFAR检测方法[J]. 电子学报, 2019, 47(9): 1883-1890.

WANG Ming-chun, ZHANG Jia-feng, YANG Zi-yuan, et al. A CFAR Detection Method of Ship Targets in Polarimetric SAR Imagery Based on Whitening Filter Under Beta Distributed Texture[J]. Acta Electronica Sinica, 2019, 47(9): 1883-1890.

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Beta分布下基于白化滤波的极化SAR图像海面舰船目标CFAR检测方法

A CFAR Detection Method of Ship Targets in Polarimetric SAR Imagery Based on Whitening Filter Under Beta Distributed Texture

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