Results 11 to 20 of about 61,800 (289)
Short-Arc Horizon-Based Optical Navigation by Total Least-Squares Estimation
Aerospace, 2023 Horizon-based optical navigation (OPNAV) is an attractive solution for deep space exploration missions, with strong autonomy and high accuracy. In some scenarios, especially those with large variations in spacecraft distance from celestial bodies, the ...
Huajian Deng +3 more
doaj +2 more sources
Geoscience Letters, 2022 The linear relationship between two stable water isotopes (δD and δ18O) has been used to examine the physical processes and movements or changes of three water phases (water vapor, liquid water and ice), including deuterium excess.
Jeonghoon Lee +3 more
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Total Least Squares Estimation in Hedonic House Price Models
ISPRS International Journal of Geo-InformationIn real estate valuation using the Hedonic Price Model (HPM) estimated via Ordinary Least Squares (OLS) regression, subjectivity and measurement errors in the independent variables violate the Gauss–Markov theorem assumption of a non-random coefficient ...
Wenxi Zhan +5 more
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Remote SensingGlobal Navigation Satellite System/Acoustic (GNSS/A) underwater positioning technology is attracting more and more attention as an important technology for building the marine Positioning, Navigation, and Timing (PNT) system.
Zhipeng Lv, Guorui Xiao
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Advances in Civil Engineering, 2022 Nowadays, TLS (terrestrial laser scanning) has been a relatively mature measuring equipment categorized to indoor measuring robots, but it is not widely adopted in indoor construction measurement at present.
Zhongyue Zhang +4 more
doaj +1 more source
A Polynomial Fitting Problem: The Orthogonal Distances Method
Mathematics, 2022 The classical curve-fitting problem to relate two variables, x and y, deals with polynomials. Generally, this problem is solved by the least squares method (LS), where the minimization function considers the vertical errors from the data points to the ...
Luis Alberto Cantera-Cantera +4 more
doaj +1 more source
Performance evaluation of the Ordinary Least Square (OLS) and Total Least Square (TLS) in adjusting field data: an empirical study on a DGPS data [PDF]
South African Journal of Geomatics, 2017 Survey measurements have become the traditional means of obtaining point positions by most surveyors over the centuries. The assertion that a post processed DGPS field data is precise, accurate and can be used to execute any engineering works due to its minimum human errors need to be reviewed; this is because the post processed field data still ...
Peprah, M.S., Mensah, I.O.
openaire +2 more sources
Quantum-inspired algorithm for truncated total least squares solution [PDF]
Journal of Computational and Applied Mathematics, 2022 Total least squares (TLS) methods have been widely used in data fitting. Compared with the least squares method, for TLS problem we takes into account not only the observation errors, but also the errors in the measurement matrix.
Qian Zuo, Yimin Wei, Hua Xiang
semanticscholar +1 more source
A Fine Line: Total Least-Squares Line Fitting as QCQP Optimization [PDF]
arXiv.org, 2022 This note uses the Total Least-Squares (TLS) line-fitting problem as a canvas to explore some modern optimization tools. The contribution is meant to be tutorial in nature.
T. Barfoot +2 more
semanticscholar +1 more source
Tensor Regularized Total Least Squares Methods with Applications to Image and Video Deblurring [PDF]
arXiv.org, 2022 Total least squares (TLS) is an effective method for solving linear equations with the situations, when noise is not just in observation matrices but also in mapping matrices.
F. Han, Y. Wei, P. Xie
semanticscholar +1 more source