基于SISE方程的广义gamma分布参数估计方法
doi: 10.3724/SP.J.1146.2011.01260
Method on Parameters Estimation of Generalized Gamma Distribution Based on Scale-Independent-Shape-Estimation (SISE) Equation
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摘要: 广义gamma分布是近年来用于SAR图像统计建模重要分布之一，参数估计是制约其应用的核心问题。该文提出了一种新的参数估计方法。首先分析了的对数累积量参数估计方法(Mehtod-of- Log-Culmulants, MoLC)的不足，接着推导了基于SISE (Scale-Independent-Shape-Estimation)方程的参数估计表达式，并给出了具体的求解方法。最后，利用蒙特卡洛仿真的实验结果表明，该文方法稳定性和有效性优于MoLC。Abstract: The Generalized Gamma Distribution is one of the most important distributions for modeling of Synthetic Aperture Radar (SAR) images, of which the main limiting factor for application is the parameters estimation. In this paper, a new parameters estimation foris proposed. At first, the weakness of Method-of-Log-Cumulants (MoLC) for is analyzed. Moreover, the estimation expression for based on Scale-Independent-Shape-Estimation (SISE) equation is derived, and the concrete solving method is presented too. Finally, the Monte Carlo simulation results demonstrate that the proposed method is more stable and effective than MoLC.
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