首页|期刊导航|大地测量与地球动力学（英文版）|A data-adaptive network design for the regional gravity field modelling using spherical radial basis functions
大地测量与地球动力学（英文版）2024，Vol.15Issue(6)：627-634,8.DOI:10.1016/j.geog.2024.04.001
A data-adaptive network design for the regional gravity field modelling using spherical radial basis functions
A data-adaptive network design for the regional gravity field modelling using spherical radial basis functions
摘要
关键词
Regional gravity field modelling/Spherical radial basis functions/Poisson kernel function/HDBSCAN clustering algorithmKey words
Regional gravity field modelling/Spherical radial basis functions/Poisson kernel function/HDBSCAN clustering algorithm引用本文复制引用
Fang Zhang,Huanling Liu,Hanjiang Wen..A data-adaptive network design for the regional gravity field modelling using spherical radial basis functions[J].大地测量与地球动力学（英文版）,2024,15(6):627-634,8.基金项目
The authors would like to express their gratitude to the two anonymous reviewers for their constructive feedback,which significantly contributed to improving the quality of this work.Special thanks are extended to Doctoral student Chuanyi Zou of Wuhan University for his assistance in refining the language and figures.Additionally,our appreciation goes to Rasit Ulug of Middle East Technical University,who provides software in the open community.This study is funded by The Fundamental Research Funds for Chinese Academy of surveying and mapping(AR2402)and Open Fund of Wuhan,Gravitation and Solid Earth Tides,Na-tional Observation and Research Station(No.WHYWZ202213). （AR2402）
