一种顾及异常控制点的坐标转换方法

坐标转换中如果有异常控制点参与转换参数的求解,会导致转换参数的可靠性差,最终使得转换精度降低。为了有效抵抗异常控制点对坐标转换的影响,在最小二乘中融入了异常点搜索算法,搜索完成后自动生成定位矩阵,通过定位矩阵直接求得经过异常值修正后的转换参数。实验结果表明,该方法对中小异常值的定位和估值较为有效,转换残差显著减小,修正后的控制点保证数量和空间分布不变,对转换精度有益。

Study on Coordinate Transformation Method Considering Abnormal Control Points

In the coordinate transformation,if the abnormal control points are involved in the conversion parameters of the solution,the reliability of the conversion parameters is poor,and the conversion accuracy is reduced.In order to effectively resist the influence of abnormal control points on coordinate conversion,the abnormal point search algorithm is integrated into the least square.After the search,the localization matrix is automatically generated.The transformed parameters are obtained directly through the location matrix.The experimental results show that this method is more effective for location and estimation of small and medium outliers,and the conversion residual is reduced significantly.The corrected control points ensure that the number and spatial distribution are constant andare benefit for conversion accuracy.