Automatic Orientation of Multi-Scale Terrestrial Images for 3D Reconstruction

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dc.contributor.authorTommaselli, Antonio M. G. [UNESP]
dc.contributor.authorBerveglieri, Adilson [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.date.accessioned2014-12-03T13:11:39Z
dc.date.available2014-12-03T13:11:39Z
dc.date.issued2014-04-01
dc.description.abstractImage orientation requires ground control as a source of information for both indirect estimation and quality assessment to guarantee the accuracy of the photogrammetric processes. However, the orientation still depends on interactive measurements to locate the control entities over the images. This paper presents an automatic technique used to generate 3D control points from vertical panoramic terrestrial images. The technique uses a special target attached to a GPS receiver and panoramic images acquired in nadir view from different heights. The reference target is used as ground control to determine the exterior orientation parameters (EOPs) of the vertical images. These acquired multi-scale images overlap in the central region and can be used to compute ground coordinates using photogrammetric intersection. Experiments were conducted in a terrestrial calibration field to assess the geometry provided by the reference target and the quality of the reconstructed object coordinates. The analysis was based on the checkpoints, and the resulting discrepancies in the object space were less than 2 cm in the studied cases. As a result, small models and ortho-images can be produced as well as georeferenced image chips that can be used as high-quality control information.en
dc.description.affiliationUniv Estadual Paulista UNESP, Dept Cartog, BR-19060900 Presidente Prudente, SP, Brazil
dc.description.affiliationUnespUniv Estadual Paulista UNESP, Dept Cartog, BR-19060900 Presidente Prudente, SP, Brazil
dc.description.sponsorshipFundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
dc.description.sponsorshipConselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
dc.description.sponsorshipIdFAPESP: 10/16954-5
dc.description.sponsorshipIdCNPq: 305111/2010-8
dc.format.extent3020-3040
dc.identifierhttp://dx.doi.org/10.3390/rs6043020
dc.identifier.citationRemote Sensing. Basel: Mdpi Ag, v. 6, n. 4, p. 3020-3040, 2014.
dc.identifier.doi10.3390/rs6043020
dc.identifier.fileWOS000336746900021.pdf
dc.identifier.issn2072-4292
dc.identifier.urihttp://hdl.handle.net/11449/113369
dc.identifier.wosWOS:000336746900021
dc.language.isoeng
dc.publisherMdpi Ag
dc.relation.ispartofRemote Sensing
dc.relation.ispartofjcr3.406
dc.relation.ispartofsjr1,386
dc.rights.accessRightsAcesso aberto
dc.sourceWeb of Science
dc.subjectclose rangeen
dc.subjectlarge-scale surveyingen
dc.subjecttarget detectionen
dc.subject3D pointen
dc.titleAutomatic Orientation of Multi-Scale Terrestrial Images for 3D Reconstructionen
dc.typeArtigo
dcterms.rightsHolderMdpi Ag
unesp.author.lattes5493428631948910[1]
unesp.author.orcid0000-0003-0483-1103[1]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências e Tecnologia, Presidente Prudentept

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Artigos - Cartografia - FCT