Pareto optimality solution of the Gauss-Helmert model

Pareto optimality solution of the Gauss-Helmert model

The Pareto optimality method is applied to the parameter estimation of the Gauss-Helmert weighted 2D similarity transformation assuming that there are measurement errors and/or modeling inconsistencies. In some cases of parametric modeling, the residuals to be minimized can be expressed in different...

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Bibliographic Details
Main Authors: Palancz, B., Awange, Joseph, Völgyesi, L.
Format: Journal Article
Published: Springer 2013
Subjects:
Gauss-Helmert transformation
parameter estimation
pareto optimality
genetic algorithm
least squares approach
measurement and modeling errors
Online Access:http://hdl.handle.net/20.500.11937/21823

Internet

http://hdl.handle.net/20.500.11937/21823

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