摘要
SAR图像统计建模旨在通过统计的方法描述SAR图像数据,以揭示SAR图像的统计特性,进而为地物散射机理的深入理解、有效SAR图像解译算法的构建、大样本SAR图像的仿真等提供技术支持。SAR图像统计建模是SAR图像解译的基础研究之一,具有较大的应用价值。本文首先从SAR图像统计建模技术的历史沿革、研究现状开始,以由乘积模型发展的SAR图像统计模型为主线,对SAR图像统计建模相关技术进行了较为全面的综述。
The aim of statistical modeling SAR images is to describe SAR image data by statistical methods and indicate the characteristics of SAR images. It can supply the technical support of deeply understanding the mechanism of Terrain scattering, conducting effective SAR interpretation algorithms, and simulating lots of SAR images. The statistical modeling of SAR images which has been extensively applied, is one of the basic studies of SAR interpretation. This paper begins from the development and current study of the technologies of statistical modeling, based on the models of SAR images developed by the product model, the statistical modeling of SAR images is reviewed in detail.
出处
《信号处理》
CSCD
北大核心
2009年第8期1270-1278,共9页
Journal of Signal Processing
基金
国家自然科学基金项目(No.40801179)
关键词
合成孔径雷达
统计模型
参数估计
拟合精度
Synthetic Aperture Radar
statistical model
parameter estimation
the goodness of fit
