On estimating gravity anomalies— A comparison of least squares collocation with conventional least squares techniques |
| |
Authors: | P Argentiero B Lowrey |
| |
Institution: | (1) Goddard Space Flight Center, 20771 Greenbelt, Maryland, USA |
| |
Abstract: | The least squares collocation algorithm for estimating gravity anomalies from geodetic data is shown to be an application
of the well known regression equations which provide the mean and covariance of a random vector (gravity anomalies) given
a realization of a correlated random vector (geodetic data). It is also shown that the collocation solution for gravity anomalies
is equivalent to the conventional least-squares-Stokes' function solution when the conventional solution utilizes properly
weighted zero a priori estimates. The mathematical and physical assumptions underlying the least squares collocation estimator
are described. |
| |
Keywords: | |
本文献已被 SpringerLink 等数据库收录! |