Semiautomatic object-space road extraction combining a stereoscopic image pair and a TIN-Based DTM

dc.contributor.authorMartins, Erico F. O.
dc.contributor.authorDal Poz, Aluir P. [UNESP]
dc.contributor.authorGallis, Rodrigo A. B.
dc.contributor.institutionUniversidade do Estado de Mato Grosso (UNEMAT)
dc.contributor.institutionUniversidade Estadual Paulista (Unesp)
dc.contributor.institutionUniversidade Federal de Uberlândia (UFU)
dc.date.accessioned2015-10-21T20:48:34Z
dc.date.available2015-10-21T20:48:34Z
dc.date.issued2015-08-01
dc.description.abstractIn this letter, a semiautomatic method for road extraction in object space is proposed that combines a stereoscopic pair of low-resolution aerial images with a digital terrain model (DTM) structured as a triangulated irregular network (TIN). First, we formulate an objective function in the object space to allow the modeling of roads in 3-D. In this model, the TIN-based DTM allows the search for the optimal polyline to be restricted along a narrow band that is overlaid upon it. Finally, the optimal polyline for each road is obtained by optimizing the objective function using the dynamic programming optimization algorithm. A few seed points need to be supplied by an operator. To evaluate the performance of the proposed method, a set of experiments was designed using two stereoscopic pairs of low-resolution aerial images and a TIN-based DTM with an average resolution of 1 m. The experimental results showed that the proposed method worked properly, even when faced with anomalies along roads, such as obstructions caused by shadows and trees.en
dc.description.affiliationDepartment of Mathematics, Mato Grosso State University (Mato Grosso State Research Foundation), 78550-124 Sinop-MT
dc.description.affiliationInstitute of Geography, Federal University of Uberlandia, 38408-100 Santa Mônica-MG, Brazi.
dc.description.affiliationUnespDepartment of Cartography, São Paulo State University, 19060-900 Presidente Prudente-SP, Brazil
dc.format.extent1790-1794
dc.identifierhttp://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=7107978
dc.identifier.citationIeee Geoscience And Remote Sensing Letters. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 12, n. 8, p. 1790-1794, 2015.
dc.identifier.doi10.1109/LGRS.2015.2426112
dc.identifier.issn1545-598X
dc.identifier.urihttp://hdl.handle.net/11449/129308
dc.identifier.wosWOS:000356542100040
dc.language.isoeng
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.relation.ispartofIeee Geoscience And Remote Sensing Letters
dc.relation.ispartofjcr2.892
dc.rights.accessRightsAcesso restrito
dc.sourceWeb of Science
dc.subjectDynamic programming (DP)en
dc.subjectRoad modelen
dc.subjectStereoscopic aerial imagesen
dc.subject3-D road extractionen
dc.titleSemiautomatic object-space road extraction combining a stereoscopic image pair and a TIN-Based DTMen
dc.typeArtigo
dcterms.licensehttp://www.ieee.org/publications_standards/publications/rights/rights_policies.html
dcterms.rightsHolderIeee-inst Electrical Electronics Engineers Inc
unesp.author.lattes4791496159878691[2]
unesp.author.orcid0000-0003-2513-9714[1]
unesp.author.orcid0000-0002-2534-1229[2]
unesp.campusUniversidade Estadual Paulista (Unesp), Faculdade de Ciências e Tecnologia, Presidente Prudentept

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