...
首页> 外文期刊>International journal of remote sensing >Calibration of the Integral Equation Model for SAR data in C-band and HH and VV polarizations
【24h】

Calibration of the Integral Equation Model for SAR data in C-band and HH and VV polarizations

机译:C波段和HH和VV极化的SAR数据积分方程模型的校准

获取原文
获取原文并翻译 | 示例
   

获取外文期刊封面封底 >>

       

摘要

The inversion of radar images to estimate surface soil parameters requires the use of well-calibrated backscattering models. The first objective of this paper is to confirm the empirical calibration proposed by Baghdadi et al. (2004) for the backscattering Integral Equation Model (IEM). That calibration was a partial one, because it covered only a few radar configurations. The second objective is to extend this calibration to include Synthetic Aperture Radar (SAR) data in C-band, for HH and VV polarizations, at any radar incidence between 20° and 50°. Advanced Synthetic Aperture Radar (ASAR) data were used to supplement the database employed by Baghdadi et al. (2004). The results show good agreement between the backscattering coefficients given by the SAR sensors and those estimated from the calibrated IEM. This study also confirms the robustness of this calibration.
机译:为了估算地表土壤参数而对雷达图像进行反演需要使用经过良好校准的反向散射模型。本文的首要目标是确认Baghdadi等人提出的经验校准。 (2004)的反向散射积分方程模型(IEM)。该校准只是部分校准,因为它仅涵盖了几种雷达配置。第二个目标是扩展此校准范围,以在20°至50°之间的任何雷达入射角下,针对HH和VV极化,在C波段中包括合成孔径雷达(SAR)数据。先进的合成孔径雷达(ASAR)数据用于补充Baghdadi等人使用的数据库。 (2004)。结果表明,SAR传感器给出的反向散射系数与从校准的IEM估计的反向散射系数之间具有良好的一致性。这项研究还证实了该校准的稳健性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号