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Residual Filtering Methods for the Purpose of Computing the Coordinate Transformation Distortion Model

机译:用于计算坐标变换失真模型的残差滤波方法

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摘要

For the purpose of coordinate transformation between two different horizontal geodetic data, the inherited one, the Croatian State Coordinate System (HDKS) and the new (official) one, Croatian Terrestrial Reference System 1996 (HTRS96) utilizing seven parameters coordinate transformation (Bursa–Wolf model) and distortion model, three methods of residual filtering were introduced in this paper, using our own developed algorithms. Each algorithm is based on a different ratio: the ratio of resultant residual and surface function of point’s environment, the ratio of difference and mutual distance of neighboring resultants in the area, and the ratio of difference and mutual distance of neighboring resultants in tangential plane. Thus, the concept of the theoretical residuals has been introduced, as well as the idea of semi–iterative procedure that is conducted through the automatization of filtering in spatial or just in plane sense and operates on the principle of a combination of classic Bursa–Wolf transformation and TIN tessellation under the terms of Delaunay’s triangulation and Voronoi’s polygons.
机译:为了在两个不同的水平大地测量数据之间进行坐标转换,继承的数据是克罗地亚国家坐标系统(HDKS),而新的(官方的)克罗地亚国家坐标系统1996(HTRS96)利用七个参数坐标转换(Bursa–Wolf模型和失真模型),使用我们自己开发的算法,介绍了三种残留滤波方法。每种算法都基于不同的比率:点的环境的结果残差与表面函数的比率,该区域中相邻结果的差和相互距离的比率以及切向平面中相邻结果的差和相互距离的比率。因此,引入了理论残差的概念,以及半迭代过程的思想,该过程是通过在空间或平面意义上自动进行滤波并基于经典布尔萨-沃尔夫组合原理进行操作的在Delaunay的三角剖分和Voronoi多边形的作用下进行了变换和TIN细分。

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