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dc.rights.licenseKūrybinių bendrijų licencija / Creative Commons licenceen_US
dc.contributor.authorShults, Roman
dc.contributor.authorUrazaliev, Asset
dc.contributor.authorAnnenkov, Andriy
dc.contributor.authorNesterenko, Olena
dc.contributor.authorKucherenko, Oksana
dc.contributor.authorKim, Kateryna
dc.date.accessioned2024-08-30T12:11:01Z
dc.date.available2024-08-30T12:11:01Z
dc.date.issued2020
dc.date.submitted2020-02-04
dc.identifier.issn2029-7092en_US
dc.identifier.urihttps://etalpykla.vilniustech.lt/handle/123456789/154798
dc.description.abstractDuring reconstruction and restoration of city geodetic networks, there is quite a common problem that is related to the nonhomogeneity of existing geodetic networks. In any city, local authorities operate with their coordinate systems. Such conditions lead to inconsistency between data of different services. There is only one way how to overcome the problem that lies in the creation and deployment of the new common coordinate system for the whole city. But such an approach has a lack connected with the necessity of transformation parameters acquisition for the latest and old coordinate systems. Insofar as old coordinate systems had been created with different accuracy, using various equipment, and measuring technologies, it is not possible to consider them as homogeneous. It means that we cannot use a classical conformal Helmert transformation to link different coordinate systems. In the presented paper were studied the different approaches for transformation parameters acquisition. A case study of the Almaty city coordinate system was researched and compared the following methods: Helmert transformation, bilinear transformation, the second and third-order regression transformation, and the fourth-order conformal polynomial transformation. It was found out that neither of the considered methods maintains the necessary transformation accuracy (>5 cm). That is why the creation of the transformation field using the finite element method (FEM) was suggested. The whole city was divided into triangles using Delaunay triangulation. For each triangle, the transformation parameters were found using affine transformation with the necessary accuracy.en_US
dc.format.extent7 p.en_US
dc.format.mediumTekstas / Texten_US
dc.language.isoenen_US
dc.relation.urihttps://etalpykla.vilniustech.lt/handle/123456789/154498en_US
dc.rightsAttribution 4.0 Internationalen_US
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en_US
dc.source.urihttp://enviro.vgtu.lt/index.php/enviro/2020/paper/view/687en_US
dc.subjectcoordinate systemen_US
dc.subjectnonhomogeneityen_US
dc.subjectgeodetic networken_US
dc.subjectpolynomial transformationen_US
dc.subjectaffine transformationen_US
dc.subjectfinite element methoden_US
dc.titleDifferent approaches to coordinate transformation parameters determination of nonhomogeneous coordinate systemsen_US
dc.typeKonferencijos publikacija / Conference paperen_US
dcterms.accessRightsLaisvai prieinamas / Openly availableen_US
dcterms.accrualMethodRankinis pateikimas / Manual submissionen_US
dcterms.alternativeTechnologies of geodesy and cadastreen_US
dcterms.dateAccepted2020-03-31
dcterms.issued2020-05-22
dcterms.licenseCC BYen_US
dcterms.references10en_US
dc.description.versionTaip / Yesen_US
dc.contributor.institutionKyiv National University of Construction and Architectureen_US
dc.contributor.institutionAl-Farabi Kazakh National Universityen_US
dcterms.sourcetitle11th International Conference “Environmental Engineering” (ICEE-2020)en_US
dc.identifier.eisbn9786094762321en_US
dc.identifier.eissn2029-7092en_US
dc.publisher.nameVilnius Gediminas Technical Universityen_US
dc.publisher.nameVilniaus Gedimino technikos universitetasen_US
dc.publisher.countryLithuaniaen_US
dc.publisher.countryLietuvaen_US
dc.publisher.cityVilniusen_US
dc.identifier.doihttps://doi.org/10.3846/enviro.2020.687en_US


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Kūrybinių bendrijų licencija / Creative Commons licence
Except where otherwise noted, this item's license is described as Kūrybinių bendrijų licencija / Creative Commons licence