Application of sparse regularization in spherical radial basis functions-based regional geoid modeling in Colorado

H Yu, G Chang, S Zhang, Y Zhu, Y Yu - Remote Sensing, 2023 - mdpi.com
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 …

An assessment of recently released high-degree global geopotential models based on heterogeneous geodetic and ocean data

Y Wu, X He, Z Luo, H Shi - Frontiers in Earth Science, 2021 - frontiersin.org
The development of the global geopotential model (GGM) broadens its applications in
ocean science, which emphasizes the importance for model assessment. We assess the …

[HTML][HTML] 基于航空重力梯度数据重建高分辨率局部重力场的径向基函数方法

吴怿昊, 何秀凤, 罗志才, 吴云龙, 许闯, 宛家宽 - 地球物理学报, 2024 - geophy.cn
基于径向基函数技术, 研究了利用航空重力梯度数据重建局部重力场模型的方法,
建立了泊松小波径向基函数和航空重力梯度张量之间的解析关系. 以频率域变换和等效源方法为 …

Spherical radial basis functions model: approximating an integral functional of an isotropic Gaussian random field

G Chang, X Zhang, H Yu - Journal of Geodesy, 2024 - Springer
The spherical radial basis function (SRBF) approach, widely used in gravity modeling, is
theoretically surveyed from a viewpoint of random field theory. Let the gravity potential be a …

Seafloor topography modeling by fusing ICESat-2 lidar, echo sounding, and airborne and altimetric gravity data from spherical radial basis functions

Y Wu, OB Andersen, A Abulaitijiang… - … on Geoscience and …, 2024 - ieeexplore.ieee.org
Bathymetry provides instrumental information for studying sedimentary processes, global
climate change, and benthic morphologies. The advantages and applicabilities of different …

A regional approach for high-resolution gravity anomaly recovery from full airborne gravity gradient tensor

Y Wu, X He, H Shi, Z Luo… - Geophysical Journal …, 2024 - academic.oup.com
SUMMARY A regional approach is developed for high-resolution gravity anomaly recovery
from the full airborne gravity gradient tensor (GGT) based on the radial basis function (RBF) …

Combination of different observation types through a multi-resolution representation of the regional gravity field using the pyramid algorithm and parameter estimation

Q Liu, M Schmidt, L Sánchez - Journal of Geodesy, 2022 - Springer
The optimal combination of different types of gravity observations is the key to obtaining a
high-resolution and high-precision regional gravity model. Current studies based on …

The approach for high-resolution local gravity field recovery from airborne gravity gradient data based on radial basis functions

YH WU, XF HE, ZC LUO, YL WU, C XU… - Chinese Journal of …, 2024 - en.dzkx.org
This study investigates the approach for high-resolution regional gravity field recovery from
airborne gravity gradient data based on radial basis function technique, where the analytical …

[HTML][HTML] A data-adaptive network design for the regional gravity field modelling using spherical radial basis functions

F Zhang, H Liu, H Wen - Geodesy and Geodynamics, 2024 - Elsevier
A high-precision regional gravity field model is significant in various geodesy applications. In
the field of modelling regional gravity fields, the spherical radial basis functions (SRBFs) …

Spectrally consistent mean dynamic topography by combining mean sea surface and global geopotential model through a least squares-based approach

H Shi, X He, Y Wu, OB Andersen, P Knudsen… - Frontiers in Earth …, 2022 - frontiersin.org
The filtering procedure is usually mandatory for modeling mean dynamic topography (MDT)
when a geodetic approach based on the Mean Sea Surface (MSS) and the Global …