非线性ECS自配准成像算法中相位保持精度分析
发布时间：2018-12-15 13:58
【摘要】：为进一步提高InSAR系统的DEM精度,分析非线性ECS自配准成像算法中4个影响相位保持精度的因素。研究结果如下:雷达和散射体之间的相对速度等效误差非常小,可以忽略;当系统分辨率优于0.1 m时,非线性自配准中的二次近似误差会引起超过0.1个像素的误差,要考虑其影响;非线性变标中的二阶泰勒近似误差非常小,可以忽略;成像时采用的平地假设误差,主要会引起干涉运动补偿的轨迹误差和相位补偿误差,对于高精度InSAR系统(高程精度优于0.5 m时),会造成一定的影响,要予以考虑。这些误差因素的分析,将为进一步优化提高InSAR成像处理中的相位保持精度及DEM精度提供一定的指导作用。
[Abstract]:In order to further improve the DEM accuracy of InSAR system, four factors affecting the phase retention accuracy in nonlinear ECS self-registration imaging algorithm are analyzed. The results are as follows: the relative velocity equivalent error between radar and scatterer is very small and can be neglected; When the resolution of the system is better than 0.1 m, the quadratic approximation error in nonlinear self-registration will cause errors of more than 0.1 pixels, which should be considered, and the second-order Taylor approximation error in nonlinear scaling is very small and can be neglected. The error of flatness assumption used in imaging will mainly cause the trajectory error and phase compensation error of interference motion compensation, which will have some influence on the high precision InSAR system (when the height accuracy is better than 0. 5 m), which should be considered. The analysis of these error factors will provide some guidance for further optimization and improvement of phase retention accuracy and DEM accuracy in InSAR imaging processing.
【作者单位】： 长沙理工大学电气与信息工程学院;西安科技大学通信与信息工程学院;长沙理工大学交通运输工程学院;
【基金】：国家自然科学基金(41201468,61302133,61302165) 湖南省重点实验室基金 湖南省教育厅项目(16B003,16C0043) 长沙理工大学公路养护技术国家工程实验室开放基金重点项目(kfj150105)资助
【分类号】：TN958
本文编号：2380777
[Abstract]:In order to further improve the DEM accuracy of InSAR system, four factors affecting the phase retention accuracy in nonlinear ECS self-registration imaging algorithm are analyzed. The results are as follows: the relative velocity equivalent error between radar and scatterer is very small and can be neglected; When the resolution of the system is better than 0.1 m, the quadratic approximation error in nonlinear self-registration will cause errors of more than 0.1 pixels, which should be considered, and the second-order Taylor approximation error in nonlinear scaling is very small and can be neglected. The error of flatness assumption used in imaging will mainly cause the trajectory error and phase compensation error of interference motion compensation, which will have some influence on the high precision InSAR system (when the height accuracy is better than 0. 5 m), which should be considered. The analysis of these error factors will provide some guidance for further optimization and improvement of phase retention accuracy and DEM accuracy in InSAR imaging processing.
【作者单位】： 长沙理工大学电气与信息工程学院;西安科技大学通信与信息工程学院;长沙理工大学交通运输工程学院;
【基金】：国家自然科学基金(41201468,61302133,61302165) 湖南省重点实验室基金 湖南省教育厅项目(16B003,16C0043) 长沙理工大学公路养护技术国家工程实验室开放基金重点项目(kfj150105)资助
【分类号】：TN958
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，本文编号：2380777
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