Survey Control Networks: Proceedings |
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Page 9
... Italy Bayerisches Landesvermessungsamt , Alexandrastraße 4 , D - 8000 München 22 , Fed.Rep . of Germany Institute of Development and Planning , Aalborg University Center , Fibingers trae de 11 , DK - 9100 Aalborg , Denmark Kenting ...
... Italy Bayerisches Landesvermessungsamt , Alexandrastraße 4 , D - 8000 München 22 , Fed.Rep . of Germany Institute of Development and Planning , Aalborg University Center , Fibingers trae de 11 , DK - 9100 Aalborg , Denmark Kenting ...
Page 79
... ITALY Maurizio BARBARELLA and Marco UNGUENDOLI Bologna , Italy ABSTRACT This work considers the problem of densification networks with a view to large- and very large - scale map making . Starting from a consideration of the standards ...
... ITALY Maurizio BARBARELLA and Marco UNGUENDOLI Bologna , Italy ABSTRACT This work considers the problem of densification networks with a view to large- and very large - scale map making . Starting from a consideration of the standards ...
Page 143
... Italy . ABSTRACT This paper proposes an original method of constructing a criterion matrix for the optimal design of control networks by means of the contraction of the eigenvalues and the rotation of the eigenvectors of a covariance ...
... Italy . ABSTRACT This paper proposes an original method of constructing a criterion matrix for the optimal design of control networks by means of the contraction of the eigenvalues and the rotation of the eigenvectors of a covariance ...
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according accuracy additional adjustment analysis angles applied areas assumed BAARDA base blocks calculated carried complete components computed condition connection considered constraints control networks coordinates corrections correlation corresponding course covariance matrix criterion matrix defined definition deformation densification networks depends derived described determined developed direction distances effect eigenvalues elements ellipses equations errors estimates example existing field Figure formula function geodetic networks given gives Introduction inverse Italy known leads least squares levelling linear mapping mathematical means measurements method necessary nets normal observations obtained optimization order design parameters points position possible practical precision presented problem procedure programming quantities reference relation relative reliability respect scale solution standard stations stochastic survey techniques testing transformation unknowns values variance variance-covariance matrix variates vector weight zero