Orthometric Height Improvement in Tainan City using RTK GPS and Local Geoid Corrector Surface Models

被引:7
|
作者
Lin, Lao-Sheng [1 ]
机构
[1] Natl Chengchi Univ, Dept Land Econ, Taipei 11605, Taiwan
关键词
Global positioning systems; Leveling; Neural networks; Surveys; Taiwan; Geoid; Global positioning; Neural network; LEVELING DATA; NEURAL-NETWORK; GREAT-BRITAIN;
D O I
10.1061/(ASCE)SU.1943-5428.0000114
中图分类号
TU [建筑科学];
学科分类号
0813 ;
摘要
Various corrector surface models are proposed to mitigate systematic height errors to fit the orthometric heights determined by combining the Tainan City real-time kinematic (RTK) global positioning system (GPS) network and the local geoid model data to the published orthometric heights. Several data sets for Tainan City were tested and analyzed. Two geometric geoid models and one gravimetric-geometric geoid model were generated using the GPS and leveling data. Consequently, three types of orthometric heights were determined (Models I, II, and III). The selection of the optimal corrector surface model for different models was based on a series of statistical tests. The test results show that (1) the selection of the optimal corrector surface model is highly related to the geoid model generating method, hence the optimal corrector surface models are a fifth-degree polynomial for Models I and II and a seven-parameter similarity transformation for Model III; and (2) the determined orthometric height is accurate to 2-4 cm after applying an optimal corrector surface model.
引用
收藏
页码:35 / 43
页数:9
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