非線性ECS自配準成像算法中相位保持精度分析
發(fā)布時間:2018-12-15 13:58
【摘要】:為進一步提高InSAR系統(tǒng)的DEM精度,分析非線性ECS自配準成像算法中4個影響相位保持精度的因素。研究結(jié)果如下:雷達和散射體之間的相對速度等效誤差非常小,可以忽略;當系統(tǒng)分辨率優(yōu)于0.1 m時,非線性自配準中的二次近似誤差會引起超過0.1個像素的誤差,要考慮其影響;非線性變標中的二階泰勒近似誤差非常小,可以忽略;成像時采用的平地假設(shè)誤差,主要會引起干涉運動補償?shù)能壽E誤差和相位補償誤差,對于高精度InSAR系統(tǒng)(高程精度優(yōu)于0.5 m時),會造成一定的影響,要予以考慮。這些誤差因素的分析,將為進一步優(yōu)化提高InSAR成像處理中的相位保持精度及DEM精度提供一定的指導作用。
[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.
【作者單位】: 長沙理工大學電氣與信息工程學院;西安科技大學通信與信息工程學院;長沙理工大學交通運輸工程學院;
【基金】:國家自然科學基金(41201468,61302133,61302165) 湖南省重點實驗室基金 湖南省教育廳項目(16B003,16C0043) 長沙理工大學公路養(yǎng)護技術(shù)國家工程實驗室開放基金重點項目(kfj150105)資助
【分類號】:TN958
本文編號: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.
【作者單位】: 長沙理工大學電氣與信息工程學院;西安科技大學通信與信息工程學院;長沙理工大學交通運輸工程學院;
【基金】:國家自然科學基金(41201468,61302133,61302165) 湖南省重點實驗室基金 湖南省教育廳項目(16B003,16C0043) 長沙理工大學公路養(yǎng)護技術(shù)國家工程實驗室開放基金重點項目(kfj150105)資助
【分類號】:TN958
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