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An automated method to estimate the baseline parameters for deriving the accurate digital elevation model

机译:用于估算基线参数的自动化方法,用于导出精确数字高度模型的基线参数

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This paper describes a Synthetic Aperture Radar (SAR) phase processing system and an automated method for estimating baseline length and its inclination angle from only pair of Single Look Complex (SLC) images to be interfered. The information about the baseline parameters are indispensable to produce accurate Digital Elevation Model (DEM) without geometrical distortion and also accurate displacement from differential Interferometric SAR (InSAR) processing. Only the nominal value of the baseline length is currently provided. The fixed value, however, does not represent nonparallel orbits from which raw interferogram is obtained. The ambiguity causes the geometrical distortion in DEM and the apparent displacement in the result of differential InSAR processing. In order to produce the accurate DEM, we have to know the baseline parameters as the function of the azimuth line. The proposed method derives coefficients of both functions for baseline length and for inclination angle by fitting the local disparities to a geometrical model. The proposed method was successfully applied to an actual InSAR data. The baseline estimated by the proposed method reduced apparent displacement to 1 / 10 of that yielded by the nominal baseline. A piecewise co-registration method is also described for obtaining highly accurate interferogram.
机译:本文介绍了一种合成孔径雷达(SAR)相处理系统和用于估计基线长度的自动化方法及其从待干扰的单个外观复合物(SLC)图像的基线长度及其倾斜角度。有关基线参数的信息是不可或缺的,无法生产无几几何失真的准确数字高度模型(DEM),并且还可以从差动干涉机械SAR(INSAR)处理中精确位移。目前只提供基线长度的标称值。然而,固定值不代表获得原始干涉图的非平行轨道。模糊性导致DEM中的几何失真和差分insar处理结果中的表观位移。为了产生准确的DEM,我们必须知道基线参数作为方位角的功能。所提出的方法通过将局部视差拟合到几何模型来衍生出基线长度和倾斜角度的函数的系数。该提出的方法已成功应用于实际的INSAR数据。通过所提出的方法估计的基线降低了由标称基线产生的1/10的表观位移。还描述了一种用于获得高精度的干扰图的分段共同登记方法。

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