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Synthetic Aperture Radar Image Background Clutter Fitting Using SKS plus MoM-Based G(0) Distribution

机译：使用SKS加上基于MoM的G（0）分布的合成孔径雷达图像背景杂波拟合

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摘要

G(0) distribution can accurately model various background clutters in the single-look and multilook synthetic aperture radar (SAR) images and is one of the most important statistic models in the field of SAR image clutter modeling. However, the parameter estimation of G(0) distribution is difficult, which greatly limits the application of the distribution. In order to solve the problem, a fast and accurate G(0) distribution parameter estimation method, which combines second-kind statistics (SKS) technique with Freitas' method of moment (MoM), is proposed. First we deduce the first and second second-kind characteristic functions of G(0) distribution based on Mellin transform, and then the logarithm moments and the logarithm cumulants corresponding to the above-mentioned characteristic functions are derived; finally combined with Freitas' method of moment, a simple iterative equation which is used for estimating the G(0) distribution parameters is obtained. Experimental results show that the proposed method has fast estimation speed and high fitting precision for various measured SAR image clutters with different resolutions and different number of looks.
机译：G（0）分布可以准确地模拟单视和多视合成孔径雷达（SAR）图像中的各种背景杂波，并且是SAR图像杂波建模领域中最重要的统计模型之一。但是，G（0）分布的参数估计很困难，这极大地限制了分布的应用。为了解决该问题，提出了一种快速准确的G（0）分布参数估计方法，该方法将第二类统计（SKS）技术与Freitas的矩量法（MoM）相结合。首先根据Mellin变换推导G（0）分布的第一和第二种特征函数，然后推导对应于上述特征函数的对数矩和对数累积量。最后结合Freitas矩方法，得到一个简单的迭代方程，用于估计G（0）分布参数。实验结果表明，该方法对不同分辨率，不同视点数量的各种SAR图像杂波具有快速的估计速度和较高的拟合精度。

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  • 来源
    《Mathematical Problems in Engineering》 |2015年第18期|864019.1-864019.11|共11页
  • 作者

    Zhu Zhengwei; Zhou Jianjiang; Chu Hongyu;

  • 作者单位

    Southwest Univ Sci & Technol, Robot Technol Used Special Environm Key Lab Sichu, Mianyang 621010, Sichuan, Peoples R China.;

    Nanjing Univ Aeronaut & Astronaut, Coll Informat Sci & Technol, Nanjing 210016, Jiangsu, Peoples R China.;

    Southwest Univ Sci & Technol, Robot Technol Used Special Environm Key Lab Sichu, Mianyang 621010, Sichuan, Peoples R China.;

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