基于改进最小二乘配置法的GPS高程拟合
GPS Elevation Fitting Based On Improved Least Squares Collocation
在利用最小二乘配置法进行GPS高程异常拟合的过程中关键是确定各信号间的协方差，由于数据的有限性因而很难通过大量的观测数据获得。本文采用变异函数来确定最小二乘配置拟合过程中的信号间的协方差，建立改进的最小二乘配置GPS高程拟合模型,并对一局部GPS水准网的高程作了拟合计算。通过将改进的最小二乘配置法与多项式曲面、多面函数和Kriging法等拟合模型进行比较证明了改进的最小二乘配置法进行GPS高程拟合的方法是可行的和有效的。
he signals' covariation was the key point in GPS elevation fitting based on least squares collocation. The covariation was difficult confirm because the data was limited. The semivariable function solved the problem of the covariation, established the model of GPS elevation abnorma based on improved least squares collocation,and applied in a local area.Through comparison among the polynomial surface, the polyhedral function, kriging interpolation function,proved effectiveness of the model of improved least squares collocation for GPS elevation fitting.
李水兵
工程设计、工程测绘测绘学
高程异常高程拟合最小二乘配置变异函数
elevation abnormalelevation fittingleast squares collocationsemivariable function
李水兵.基于改进最小二乘配置法的GPS高程拟合[EB/OL].(2011-07-19)[2025-07-21].http://www.paper.edu.cn/releasepaper/content/201107-280.点此复制
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