Application of Sparse Regularization in Spherical Radial Basis Functions-Based Regional Geoid Modeling in Colorado

Application of Sparse Regularization in Spherical Radial Basis Functions-Based Regional Geoid Modeling in Colorado

Spherical radial basis function (SRBF) is an effective method for calculating regional gravity field models. Calculating gravity field models with high accuracy and resolution requires dense basis functions, resulting in complex models. This study investigated the application of sparse regularizatio...

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Bibliographic Details
Main Authors: Haipeng Yu, Guobin Chang, Shubi Zhang, Yuhua Zhu, Yajie Yu
Format: Article
Language:English
Published: MDPI AG 2023-10-01
Series:Remote Sensing
Subjects:
regional gravity field modeling
geoid
spherical radial basis function
sparse regularization
least absolute shrinkage selection operator
covariance matrix
Online Access:https://www.mdpi.com/2072-4292/15/19/4870

Internet

https://www.mdpi.com/2072-4292/15/19/4870

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