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dc.contributor.authorFerrer González, Ezequiel
dc.contributor.authorAgüera Vega, Francisco
dc.contributor.authorCarvajal Ramírez, Fernando
dc.contributor.authorMartínez Carricondo, Patricio
dc.date.accessioned2020-09-02T10:41:59Z
dc.date.available2020-09-02T10:41:59Z
dc.date.issued2020-07-30
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/10835/8406
dc.description.abstractUnmanned aerial vehicle (UAV) photogrammetry has recently emerged as a popular solution to obtain certain products necessary in linear projects, such as orthoimages or digital surface models. This is mainly due to its ability to provide these topographic products in a fast and economical way. In order to guarantee a certain degree of accuracy, it is important to know how many ground control points (GCPs) are necessary and how to distribute them across the study site. The purpose of this work consists of determining the number of GCPs and how to distribute them in a way that yields higher accuracy for a corridor-shaped study area. To do so, several photogrammetric projects have been carried out in which the number of GCPs used in the bundle adjustment and their distribution vary. The different projects were assessed taking into account two different parameters: the root mean square error (RMSE) and the Multiscale Model to Model Cloud Comparison (M3C2). From the different configurations tested, the projects using 9 and 11 GCPs (4.3 and 5.2 GCPs km−1, respectively) distributed alternatively on both sides of the road in an offset or zigzagging pattern, with a pair of GCPs at each end of the road, yielded optimal results regarding fieldwork cost, compared to projects using similar or more GCPs placed according to other distributions.es_ES
dc.language.isoenes_ES
dc.publisherMDPIes_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectunmanned aerial vehicle (UAV)es_ES
dc.subjectstructure-from-motion (SfM)es_ES
dc.subjectground control points (GCP)es_ES
dc.subjectaccuracy assessmentes_ES
dc.subjectpoint cloudses_ES
dc.subjectcorridor mappinges_ES
dc.titleUAV Photogrammetry Accuracy Assessment for Corridor Mapping Based on the Number and Distribution of Ground Control Pointses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://www.mdpi.com/2072-4292/12/15/2447es_ES
dc.rights.accessRightsinfo:eu-repo/semantics/openAccesses_ES


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Attribution-NonCommercial-NoDerivatives 4.0 Internacional
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-NoDerivatives 4.0 Internacional