P Xu, J Liu, C Shi - Journal of geodesy, 2012 - Springer
The weighted total least squares (TLS) method has been developed to deal with observation equations, which are functions of both unknown parameters of interest and other measured …
A standard errors-in-variables (EIV) model refers to a Gauss–Markov model with an uncertain model matrix from a geodetic perspective. Least squares within the EIV model is …
In this contribution it is shown that the so-called “total least-squares estimate”(TLS) within an errors-in-variables (EIV) model can be identified as a special case of the method of least …
Although data processing in geodetic applications often relies on the least-squares method, the Gauss-Markov model with uncertain model matrix has to be solved rigorously using the …
In this contribution, an iterative algorithm is developed for parameter estimation in a nonlinear measurement error model y− e=(A− EA) x, which is based on the complete …
B Wang, Z Zhao, Y Chen, J Yu - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Point cloud fitting plays an important role in various applications of laser scanning technology. Currently, the most dominant algorithms are the linear least-squares (LS) …
H Shi, X Liu, X Tong, P Chen, Y Gao, Z Liu, Z Xu… - Measurement, 2025 - Elsevier
Large-span suspended domes often serve as landmarks for cities or countries. This paper proposes a videogrammetric method for monitoring the 3D deformation of internal key nodes …
Y Zhou, Q Chen, X Niu - IEEE Access, 2019 - ieeexplore.ieee.org
Accurate absolute measurement of existing lines is a task of fundamental importance to provide scientific basis for reconstruction. Traditional railway track survey methods in …