首页> 中文期刊> 《空军预警学院学报》 >基于RadarSat2数据的法拉第旋转校正算法实验

基于RadarSat2数据的法拉第旋转校正算法实验

         

摘要

Considering that the impacts of polarimetric vector offset introduced by Faraday rotation effects on the space-borne SAR system, this paper presents Faraday rotation correction algorithms for space-borne SAR in common use based on the polarization SAR transmission model, and reproduces the real scattering charateristics for precise information inversion of the ground targets. By experiments, the performance analysis of Faraday rotation angle estimation of C-band polarimetric Radarsat2 data is given, based on the four frequently used correction algorithms. By contrast, it is concluded that Bickel&Bates algorithm and Freeman algorithm are of the more robust performances, and based on using them to estimate Faraday rotation effect for the panoramic data, it comes to a conclusion that the data in this rain forest area are of 0°-2° change of Faraday rotation angle, thus having no bigger impacts on those common remote-sensing data, which lays a technical basis for further monitoring precisely the distortion change of space-borne polarimetric SAR system%鉴于星载合成孔径雷达(SAR)系统受法拉第旋转效应引入的极化矢量偏移影响,研究基于极化SAR传输模型给出常用星载SAR法拉第旋转效应校正算法,还原目标真实散射特性以用于地面精确信息反演.实验给出了四种常用校正算法关于C波段全极化RadarSat2数据的法拉第旋转角估计性能分析,对比得到Bickel&Bates算法及Freeman算法具有较稳健的估计性能表现;并基于其对整景数据进行法拉第旋转效应估计,得到该雨林区域数据具有0°~2°的法拉第旋转角变化,对于一般遥感数据应用不会产生较大影响.这为进一步精确监测星载极化SAR系统失真变化打下了技术基础.

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