Generalized Gamma Distribution with MoLC Estimation for Statistical Modeling of SAR Images

摘要：

Although many theoretical and empirical models have been developed to characterize the statistics of SAR images in the literature, they are generally dedicated to the SAR images with certain types of scenes, or cannot provide analytical expression for the probability density function (PDF). In this paper, we propose a new empirical statistical model, called generalized Gamma distribution (GГD), for the statistical modeling of SAR images. The GГD forms a large variety of alternative distributions, and is flexible to model the SAR images covering different kinds of surfaces in amplitude and intensity formats. Moreover, the method of logcumulants (MoLC) based on Mellin transform is derived for parameter estimation of GГD. Experimental results on two real SAR images are given to demonstrate the validity of our proposed GГD.

作者: Heng-Chao Li Wen Hong Yi-Rong Wu

作者单位: National Key Laboratory of Microwave Imaging Technology,Institute of Electronics,Chinese Academy of National Key Laboratory of Microwave Imaging Technology,Institute of Electronics,Chinese Academy of

会议类型: 国际会议

会议名称: 首届亚太合成孔径雷达会议(1st Asian and Pacific Conference on Synthetic Aperture Radar Proceedings)

会议地点: 安徽黄山

会议语种:英文

在线出版日期: 2007-11-05（万方平台首次上网日期，不代表论文的发表时间）