| 最小二乘配置和普通Kriging法在GPS高程转换中的应用 |
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| 引用本文： | 许双安.最小二乘配置和普通Kriging法在GPS高程转换中的应用[J].测绘信息与工程,2012,37(6):64-67. |
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| 作者姓名： | 许双安 |
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| 作者单位： | 中铁第一勘察设计院集团有限公司,西安市西影路2号,710043 |
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| 摘 要： | 最小二乘配置法和Kriging法进行高程转换时均兼顾考虑高程异常的系统部分和随机部分,为对比分析两种方法在GPS高程转化时的优劣性,根据最小二乘配置法的协方差函数（或kriging法的变异函数）的不同,采用五种方案对实测数据进行处理。结果分析证明了以距离作为协方差函数的最小二乘配置法在算法和推估结果可靠性要优于其他方案。
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| 关 键 词： | 最小二乘配置法 Kriging法 高程异常 协方差函数 变异函数 |
Application of Least Squares Collocation and Kriging in GPS Height Converison |
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| XU Shuangan.Application of Least Squares Collocation and Kriging in GPS Height Converison[J].Journal of Geomatics,2012,37(6):64-67. |
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| Authors: | XU Shuangan |
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| Institution: | XU Shuangan(China Railway First Survey and Design Institute Group Ltd.,2 Xiying Road,Xi＇an 710043,China) |
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| Abstract: | This article first details an analysis of abnormal elevation of both parts of the system and the random part of the least squares collocation and kriging.According to the least squares method,of the collocation covariance function（or variogram of kriging） can vary,using five kinds of programs test results compares data processing measurement.The least squares covariance function collocation method results in algorithms and estimates the reliability better than other programs. |
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| Keywords: | the least squares collocation kriging height anomaly covariance function variogram |
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