RTK点校正的参数稳定性优化方法研究

Research on the optimization method for stability of RTK point correction

公共点的空间分布均匀程度与密度都会极大地影响转换参数解算结果的稳定性,进而影响RTK外业数据采集结果的可靠性。据此本文研究并提出了基于泰森多边形面积的加权算法,通过实地测量数据对比分析加权与否对不同控制点组合的RTK测量成果坐标转换参数的稳定性。结果显示,当测区控制点密度较低时,基于泰森多边形面积加权的参数解稳定性显著优于不加权结果。通过面积加权,不同公共点分布的坐标平移参数解稳定性最高。由此可知,通过对测区公共点进行泰森多边形面积加权,能够有效抑制转换参数求解时控制点点位密度及其空间分布均匀程度对RTK测量成果的影响,从而大幅提高观测结果的可靠性。

The uniformity and density of control points make significant impact on the stability of computed transformation parameters,which would make further impact on the reliability of RTK observations.A weighting model based on the area of Voronoi polygons is proposed in this paper,which makes a comparison on the stability of transformation parameters resolved by weighting model and unweighting model.The result shows that the transformation parameters given by the weighting model are significantly better than the unweighting ones,especially for coordinate translation parameters,when there is a lower density of control points.Thus,the impact on transformation parameters of RTK observations,which generated by uniformity and density of control points could be reduced effectively through the weighting model based on the area of Voronoi polygons and the reliability of RTK observations can be enhanced significantly.