Study on the Elevation Fitting in Mountainous Area Based on High Order Gravity Field Model
In this paper, the measured height anomalies of GNSS benchmark in coastal mountainous areas are selected to test the accu-racy of height anomalies calculated by six high order gravity field models (EGM2008, EIGEN-6C2, EIGEN-6C3stat, GECO, XGM2019e and SGG-UGM-2) published in recent years, and the relationship between the accuracy and order of height anomalies of different models with different truncation order is analyzed, the method of quadric surface fitting based on Kd-Tree algorithm is used to remove, fit and restore the mountain level. The results show that the accuracy of mountain level fitting based on high order gravity field model based on KD tree algorithm is improved obviously, and it has good adaptability.
high order gravity field modelheight anomalyKd-Tree algorithm
万方数据
维普
