摘要
函数模型逼近和统计模型逼近是GPS水准拟合中常用的方法,前者对趋势性和规律性变化参数求解较为理想,后者对随机变化的逼近较为合适。对大范围的GPS水准拟合,综合模型法兼顾二者优点,将获得更高精度,给出了具体模型和计算方法,并对一个大测区的GPS水准数据进行解算,获得了满意的结果。
Functional approximations and statistical approximations have been generally applied in GPS leveling fitting model. The functional models are suitable for approaching the trends, systematic variations; the statistical methods are appropriate to approximate the stochastic behavior. In large-scale GPS leveling fitting model, integrated model, which owns both of their excellences, could gain high precise. The text has used this measure to resolve on basis of GPS level data from a large measured area, and gained satisfying result. Moreover, the model and detailed methods of calculation are given.
出处
《地理空间信息》
2009年第2期92-93,共2页
Geospatial Information
关键词
高程异常
综合模型
信号
协方差
GPS
height abnormity
integrated model
signal
covariance
GPS
