Summary
One of the classical procedures for geodetic network densification consists in a free net adjustment, followed by a so-called “Helmert transformation” with respect to the fiducial point set which is kept unchanged. Here we show that this approach is not optimal in terms of the Mean-Squared-Error (MSE) risk, and present a direct derivation, based on the least-squares principle, of the optimal densification solution with the “reproducing property”.
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Dedicated to Erik Grafarend at his 60th birthday
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© 2003 Springer-Verlag Berlin Heidelberg
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Schaffrin, B. (2003). Reproducing Estimators via Least-Squares: An Optimal Alternative to the Helmert Transformation. In: Grafarend, E.W., Krumm, F.W., Schwarze, V.S. (eds) Geodesy-The Challenge of the 3rd Millennium. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-05296-9_40
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DOI: https://doi.org/10.1007/978-3-662-05296-9_40
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-07733-3
Online ISBN: 978-3-662-05296-9
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