基于自适应最小二乘配置的区域似大地水准面拟合  

The Fitting of Quasi -geoid Based on Adaptive Least Squares Collocation

作　　者：聂建亮[1] 郭春喜[1] 王斌[1] 蒋光伟[1] 

机构地区：[1]国家测绘局大地测量数据处理中心,陕西西安710054

出　　处：《测绘科学与工程》2013年第2期16-18,共3页Geomatics Science and Engineering

基　　金：国家863资助项目（2009AA121402-5）.

摘　　要：局部范围高精度GPS／水准点密度不高将影响较大区域似大地水准面逼近效果，本文采用自适应最小二乘配置融合高等级点与C级点数据资源，充分发挥了高精度高等级点对似大地水准面拟合的主要作用，深入挖掘了C级点对区域似大地水准面拟合的潜力。作者以东部某省似大地水准面精化数据为例，计算结果表明：自适应最小二乘配置方法是一种有效、可靠实现不同组数据融合的方法。The low density of high precision GPS/leveling data in local area affects the quasi - geoid fitting in larger area. Adaptive least squares collocation is used to fuse the data of high class and C class, in order to make full use of the high - class, high - accuracy data and develop the potential of C class data in quasi - geoid fitting. The results on Quasi - geoid refined data from some province in the east show that adaptive least squares collocation is an effective and reliable method for the fusion of dif- ferent sets of data.

关 键 词：似大地水准面 数据融合 自适应最小二乘配置 近似Helmert方差分量估计 自适应因子 

分 类 号：P223[天文地球—大地测量学与测量工程]