摘要
为了充分有效地利用相似坐标变换参数的先验信息,提高坐标转换精度,提出利用分类因子自适应序贯坐标转换法求解不同区域的坐标转换参数;针对不同类型、不同量纲的参数构造出不同的自适应因子。对实测数据的分析计算表明,在三维坐标转换中,分类因子自适应序贯坐标转换优于序贯坐标转换。
In order to utilize the prior information of similarity coordinate transformation parameter fully and availably and improve the accuracy of coordinate transformation at the same time, we put forward a new method using adaptively sequential coordinate transformation with classified adaptive factor to calculate the coordinate transformation parameters in different region. According to the parameters of different type and different dimension, the different adaptive factors are constructed. An example of practical data processing shows that the adaptively sequential coordinate transformation with classified adaptive factor is superior to the sequential coordinate transformation in three-dimensional coordinate transformation.
出处
《大地测量与地球动力学》
CSCD
北大核心
2008年第2期110-114,共5页
Journal of Geodesy and Geodynamics
基金
国家自然科学基金(40474001,40774001)
关键词
坐标转换
序贯平差
自适应序贯平差
自适应因子
分类因子
coordinate transformation
sequential adjustment
adaptively sequential adjustment
adaptive factor
classified adaptive factor
