摘要
利用亚马逊热带雨林后向散射系数的稳定性可获取星载合成孔径雷达(SAR)俯仰向双程天线方向图并对SAR图像进行辐射校正.给出了基于亚马逊热带雨林星载SAR数据实现天线方向图的估值方法,并利用绝对校正后的SAR图像散射系数沿距离向的衰落特性获得了在轨天线波束指向偏差的估计.仿真结果表明了利用本文算法基于亚马逊热带雨林星载SAR数据获取俯仰向天线方向图的可靠性和稳定性.
Amazon tropical rain forest, due to the constant backscattering coefficient, is widely used for spaceborne SAR (Synthetic Aperture Radar) range pattern measurement and the radiometric calibration of sapceborne SAR images. Based on the data of Amazon tropical rain forest, the parameter estimation methods of spaceborne SAR pattern model are provided, and the shaped pattern estimation is discussed. After the absolute radiometric calibration of SAR image is performed, the detection of beam pointing error according to the decline of backscattering coefficient of the calibrated SAR image along the range is discussed. The simulated results indicate the reliability and stability of the proposed algorithms.
出处
《测试技术学报》
2008年第4期301-306,共6页
Journal of Test and Measurement Technology
关键词
亚马逊热带雨林
星载SAR
双程天线方向图
辐射校正
波束指向监测
amazon tropic forest
spaceborne SAR
double-ways antenna pattern
radiometric calibration
beam pointing detection