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dc.contributor.authorBayarri Cayón, Vicente
dc.contributor.authorCastillo López, Elena 
dc.contributor.authorRipoll, Sergio
dc.contributor.authorSebastián, Miguel A.
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2024-05-27T14:05:37Z
dc.date.available2024-05-27T14:05:37Z
dc.date.issued2021
dc.identifier.issn2071-1050
dc.identifier.urihttps://hdl.handle.net/10902/32929
dc.description.abstractThere is a growing demand for measurements of natural and built elements, which require quantifiable accuracy and reliability, within various fields of application. Measurements from 3D Terrestrial Laser Scanner come in a point cloud, and different types of surfaces such as spheres or planes can be modelled. Due to the occlusions and/or limited field of view, it is seldom possible to survey a complete feature from one location, and information has to be acquired from multiple points of view and later co-registered and geo-referenced to obtain a consistent coordinate system. The aim of this paper is not to match point clouds, but to show a methodology to adjust, following the traditional topo-geodetic methods, 3DTLS data by modelling references such as calibrated spheres and checker-boards to generate a 3D trilateration network from them to derive accuracy and reliability measurements and post-adjustment statistical analysis. The method tries to find the function that best fits the measured data, taking into account not only that the measurements made in the field are not perfect, but that each one of them has a different deviation depending on the adjustment of each reference, so they have to be weighted accordinglyes_ES
dc.format.extent54 p.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rights© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.es_ES
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/*
dc.sourceSustainability, 2021, 13(24), 13526es_ES
dc.subject.other3D terrestrial laser scanneres_ES
dc.subject.otherGlobal navigation satellite systemses_ES
dc.subject.otherGeomaticses_ES
dc.subject.other3D trilaterationes_ES
dc.subject.otherLeast squares adjustmentes_ES
dc.subject.otherCultural managementes_ES
dc.subject.otherData processinges_ES
dc.subject.otherMappinges_ES
dc.titleControl of laser scanner trilateration networks for accurate georeferencing of caves: Application to el castillo cave (spain)es_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.3390/su132413526
dc.type.versionpublishedVersiones_ES


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Mostrar el registro sencillo

© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.Excepto si se señala otra cosa, la licencia del ítem se describe como © 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license.