Survey Review · 2009 · 16 citations · 9 references
Natural SciencesGeoinformaticsGeodesyGeographic Information ScienceSurveying3D Geographic Information SystemsCoordinate SystemsCoordinate TransformationsGeodetic NetworksGeodetic SurveyingThree-dimensional GeometryCoordinate EstimationCoordinate System TransformationLeast Squares EstimationLeast-squares AdjustmentMolodensky TransformationObjective Function FormulationSteepest DescentTransformation Parameters
AbstractFour different methods are evaluated by solving the Molodensky 3-D coordinate transformation problem. These methods are Steepest Descent, Trust region, Gauss Newton and Levenberg-Marquardt. Also, the problem has been solved using the traditional combined least-squares adjustment. The solutions of these methods are compared by the number of iterations required for the objective function to converge to its minimum value. Externally, the RMSE of the transformed check stations of the geodetic network (curvilinear coordinates) are compared to the RMSE obtained by transforming the same set of check stations using the transformation parameters recommended by the Egyptian Survey Authority.Keywords: COORDINATE TRANSFORMATIONOPTIMISATION PROCEDURESNATIONAL GEODETIC NETWORKSWGS84
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Linear and nonlinear programming.
Mathematics and Computers in Simulation · 1986 · 4.9K citations
Journal of Geodesy · 1976 · 584 citations · Full text
P. J. G. Teunissen · Manuscripta geodetica. · 1990 · 155 citations · Full text
NONLINEARITY AND LEAST SQUARES
P. J. G. Teunissen, E.H. Knickmeyer · CISM journal · 1988 · 45 citations