Détail de l'auteur
Auteur Slawomir Łapiński |
Documents disponibles écrits par cet auteur (1)
Ajouter le résultat dans votre panier Affiner la recherche Interroger des sources externes
Reliability analysis for non-distorting connection of engineering survey networks / Witold Proszynski in Survey review, vol 51 n° 366 (May 2019)
[article]
Titre : Reliability analysis for non-distorting connection of engineering survey networks Type de document : Article/Communication Auteurs : Witold Proszynski, Auteur ; Slawomir Łapiński, Auteur Année de publication : 2019 Article en page(s) : pp 219 - 224 Note générale : Bibliographie Langues : Anglais (eng) Descripteur : [Vedettes matières IGN] Navigation et positionnement
[Termes IGN] compensation de coordonnées
[Termes IGN] fiabilité des données
[Termes IGN] génie civil
[Termes IGN] réseau géodésique spécifique
[Termes IGN] transformation de HelmertRésumé : (Auteur) A non-distorting network connection is a complex procedure consisting of a local network adjustment and a subsequent Helmert transformation into the connection points without changing the scale, i.e. isometry transformation. Since a joint adjustment model proposed for this connection in the earlier publication did not turn out sufficient to create a detailed reliability description for the whole procedure, reference had to be made to the original two-step approach. The reliability measures for a joint model and for each of the above mentioned procedural steps of the connection are being analysed. It is shown that the reliability description as based on indices obtained from the joint model should be supplemented with the indices from the two-step model. A specific property of the connection concerning mutual controllability of coordinates of the connection points is formulated on the basis of the Helmert transformation. The theory is illustrated on some numerical examples. Numéro de notice : A2019-193 Affiliation des auteurs : non IGN Thématique : POSITIONNEMENT Nature : Article nature-HAL : ArtAvecCL-RevueIntern DOI : 10.1080/00396265.2018.1425605 Date de publication en ligne : 24/01/2018 En ligne : https://doi.org/10.1080/00396265.2018.1425605 Format de la ressource électronique : URL Article Permalink : https://documentation.ensg.eu/index.php?lvl=notice_display&id=92639
in Survey review > vol 51 n° 366 (May 2019) . - pp 219 - 224[article]