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CFAR detection method of polarimetric SAR imagery based on whitening filter under G0 distribution

  • role： First author第一作者
  • Affiliation：

    School of Electronic Engineering, Naval University of Engineering, Wuhan 430030, China

    No.92118 Unit of PLA, Zhoushan 316000, China

  • Email：751971863@qq.com
  • Introduction：张嘉峰，1993年生，男，助理工程师，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
Jiafeng ZHANG12,  
  • Affiliation：

    School of Electronic Engineering, Naval University of Engineering, Wuhan 430030, China

Peng ZHANG1,  
  • Affiliation：

    School of Electronic Engineering, Naval University of Engineering, Wuhan 430030, China

Mingchun WANG1,  
  • Affiliation：

    School of Electronic Engineering, Naval University of Engineering, Wuhan 430030, China

Tao LIU1

Resümee

Poor applicability has been a common issue among high-resolution clutter models that use the existing constant false alarm rate (CFAR) detection methods for polarimetric synthetic aperture radar (PolSAR) imageries. To solve the problem, a CFAR detection method with G0 distribution and closed analytical expression for PolSAR imageries is proposed. CFAR loss (CL) is used to quantitatively evaluate the maintenance performance of CFAR detection methods. First, the probability density function (PDF) of the multi-look polarization whitening filter (MPWF) metric is derived on the basis of product modeling by combining the hypotheses of inverse Gamma distribution texture. Second, the PDF of the MPWF metric is integrated, and the analytical expression of the false alarm rate with respect to the CFAR detection threshold is obtained. The process of the proposed CFAR detection method is also designed. Finally, the simulation data and the AIRSAR real data are used to compare the running times of the methods, the fitting performances of the detection metrics, and the target detection performances of the existing and proposed methods. Results show that the running time of the proposed method is 3—30 times shorter than those of the existing methods, and the real-time performance of the proposed method is also enhanced. The analytical results of the AIRSAR real data of Tamano (Japan) show thatG0 distribution has a good fitting performance with high-resolution non-uniform sea areas. The proposed method can detect targets effectively in both G0 and non-G0 distribution sea areas, and its robustness is better than those of the existing methods. Moreover, the figure of merit of the proposed method is 15.78% higher than those of the other detection methods. The analytical results of CL indicate that the proposed method has good CFAR maintenance performance. Moreover, the closer the clutter log-cumulant scatter points are to the G0 distribution curve, the better the CFAR maintenance performance of the proposed method.

Schlüsselwort

polarimetric synthetic aperture radar (PolSAR);constant false alarm rate (CFAR);product model;G0 distribution;multi-look polarization whitening filter (MPWF);false alarm rate;CFAR Loss (CL);figure of merit (FoM)

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