%0 Journal Article
%T Heavy-tailed Rayleigh Distribution: Basic Properties and Their Applications<br>拖尾Rayleigh 分布: 基本性质及其应用
%A SUN Zeng-Guo
%A HAN Chong-Zhao
%A <br>孙增国
%A 韩崇昭
%J 自动化学报
%D 2008
%I 
%X In order to solve the problems appearing in the heavy-tailed Rayleigh modeling of synthetic aperture radar (SAR)amplitude images,some basic properties and their applications are introduced for the heavy-tailed Rayleigh dis- tribution in this paper.Firstly,based on the negative-order moments,ratio method,logarithmic moment method and iterative logarithmic moment method are presented to estimate the parameters of the heavy-tailed Rayleigh distribution, and their performances are compared according to Monte Carlo simulations.Secondly,the asymptotic series are used to evaluate the density function of heavy-tailed Rayleigh distribution,and an efficient three-step method is proposed using the interpolating polynomial fit.Lastly,real SAR amplitude images are modeled with the heavy-tailed Rayleigh distribution.Compared to the conventional Rayleigh distribution,the heavy-tailed Rayleigh distribution can accurately reflect the high peak and heavy tail of SAR amplitude images,so it is a useful tool for the modeling of SAR amplitude images.
%K SAR amplitude image modeling
%K heavy-tailed Rayleigh distribution
%K negative-order moments
%K Monte Carlo simulation
%K asymptotic series
%K interpolating polynomial fit<br>SAR幅值图像建模
%K 拖尾Rayleigh分布
%K 负数阶矩
%K Monte
%K Carlo仿真
%K 渐近级数
%K 插值多项式拟合
%U http://www.alljournals.cn/get_abstract_url.aspx?pcid=5B3AB970F71A803DEACDC0559115BFCF0A068CD97DD29835&cid=8240383F08CE46C8B05036380D75B607&jid=E76622685B64B2AA896A7F777B64EB3A&aid=6B99D62594F101AF0A0CB97307B008FB&yid=67289AFF6305E306&vid=339D79302DF62549&iid=9CF7A0430CBB2DFD&sid=0AFD076159674A31&eid=6A12B9FCEF71AE29&journal_id=0254-4156&journal_name=自动化学报&referenced_num=0&reference_num=15