A New CFAR Detection Method of Polarimetric SAR Imagery Based on Matched Filter Under Fisher Texture

ZHANG Jia-feng; YANG Zi-yuan; ZHANG Peng; LIU Tao

doi:10.3969/j.issn.0372-2112.2019.12.011

您当前的位置：

首页 >

文章列表页 >

A New CFAR Detection Method of Polarimetric SAR Imagery Based on Matched Filter Under Fisher Texture

更新时间：2025-07-16

- A New CFAR Detection Method of Polarimetric SAR Imagery Based on Matched Filter Under Fisher Texture
- Acta Electronica Sinica Vol. 47, Issue 12, Pages: 2533-2543(2019)
- 作者机构：
  
  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
  3. 海军工程大学电子工程学院,湖北,武汉,430030
  4. 中国人民解放军 92118部队,浙江,舟山,316000
- 作者简介：
- 基金信息：
  
  National Natural Science Foundation of China (No.61372165, No.61771483)
- DOI：10.3969/j.issn.0372-2112.2019.12.011
  CLC： TN95
- Published Online：25 December 2019，
  
  Published：2019
- 稿件说明：
移动端阅览
ZHANG Jia-feng, YANG Zi-yuan, ZHANG Peng, et al. A New CFAR Detection Method of Polarimetric SAR Imagery Based on Matched Filter Under Fisher Texture[J]. Acta Electronica Sinica, 2019, 47(12): 2533-2543.
DOI：

ZHANG Jia-feng, YANG Zi-yuan, ZHANG Peng, et al. A New CFAR Detection Method of Polarimetric SAR Imagery Based on Matched Filter Under Fisher Texture[J]. Acta Electronica Sinica, 2019, 47(12): 2533-2543. DOI： 10.3969/j.issn.0372-2112.2019.12.011.

摘要

在已有的极化合成孔径雷达（PolSAR）图像恒虚警（CFAR）检测方法中，存在着高分辨下杂波模型适用性差的难题。为此提出了一种Fisher分布下的CFAR检测方法，并定义虚警损失率（CFAR Loss，

）以量化评估算法的恒虚警保持性能.首先，在乘积模型框架下引入Fisher纹理变量，推导出了多视极化匹配滤波（Multi-look Polarization Matched Filter，MPMF）检测量的概率密度函数（PDF）.然后，对PDF积分得到了虚警概率的闭合解析式，并设计了CFAR检测流程.仿真数据和机载合成孔径雷达（Airborne SAR，AIRSAR）数据实验结果表明，与基于K分布、

分布、Wishart分布的CFAR检测算法以及双参数恒虚警（two-Parameter CFAR，2P-CFAR）算法相比，新方法具有良好的恒虚警保持性能和检测性能，具有较强的鲁棒性，且运算时间未明显增加，相比于其他检测方法，品质因数（Figure of Merit，FoM）平均高出12.80%.

Abstract

There is a problem of the poor applicability of clutter models under high resolution with the existing constant false alarm rate (CFAR) detection methods in polarimetric synthetic aperture radar (PolSAR) imageries. To solve the problem

a CFAR detection method is proposed under Fisher texture

and the CFAR loss (

) is defined to quantitatively evaluate the CFAR maintenance performance of detection methods. Firstly

the probability density function (PDF) of the

multi-look polarization matched filter (MPMF) metric is derived based on product model combining the hypothesis of the Fisher texture. Secondly

the PDF of the MPMF metric is integrated

and the analytical expression of the false alarm rate is obtained. The process of the proposed CFAR detection method is also designed. Compared with other methods based on K

and Wishart distribution

as well as the two-parameter CFAR (2P-CFAR) detector via simulation data and airborne SAR (AIRSAR) data

the proposed method has good constant false alarm maintenance performance and detection performance

strong robustness and no significant increase in operation time.Compared with other detection methods

the figure of merit (FoM) is 12.80% higher on average.

关键词

Keywords

references

Views

170

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A New CFAR Detection Method of Polarimetric SAR Imagery Based on Whitening Filter Under Fisher Distribution

Related Author

WANG Ming-chun

Related Institution

No data

⁰