SAR图像RCS模型的对数—正态分布参数估计

SAR图像RCS模型的对数—正态分布参数估计

内容简介：为了从观察图像中估计出合成孔径雷达（SAR）图像的雷达横截面积（RCS）模型的对数—正态分布的参数, 提出了强度图像和幅值图像的参数估计方法。推导出斑点的前两阶对数累积量和对数—正态分布的前两阶对数累积量; 基于第二类统计量和斑点的乘性模型, 获得RCS模型的对数—正态分布的参数估计式。所提方法具有解析的表达式, 易于实现。Monte Carlo仿真和SAR图像的参数估计实验表明, 所提方法可以有效地从观察图像中估计出RCS模型的对数—正态分布的参数。

Abstract：In order to estimate the parameters of the log-normal distribution of radar cross section(RCS) model of synthetic aperture radar(SAR) images from the observed image, this paper proposed the parameter estimator for intensity image and amplitude image. First, it derived the first two log-cumulants of speckle. Second, it derived the first two log-cumulants of log-normal distribution. Last, it obtained the parameter estimator of the log-normal distribution of RCS model based on the second-kind statistics and the multiplicative model of speckle. The proposed estimator was easy to implement due to the analytical expressions. Parameter estimation experiments on Monte Carlo simulations and SAR images demonstrate that the proposed estimator can effectively estimate the parameters of the log-normal distribution of RCS model from the observed image.

作者：孙增国,

关键词：雷达散射截面, RCS, SAR图像, RCS模型, 对数—正态分布, 对数累积量, 第二类统计量