dc.contributorUniversidade do Estado de Mato Grosso (UNEMAT)
dc.contributorUniversidade Estadual Paulista (Unesp)
dc.contributorUniversidade Federal de Uberlândia (UFU)
dc.date.accessioned2015-10-21T20:48:34Z
dc.date.available2015-10-21T20:48:34Z
dc.date.created2015-10-21T20:48:34Z
dc.date.issued2015-08-01
dc.identifierIeee Geoscience And Remote Sensing Letters. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 12, n. 8, p. 1790-1794, 2015.
dc.identifier1545-598X
dc.identifierhttp://hdl.handle.net/11449/129308
dc.identifier10.1109/LGRS.2015.2426112
dc.identifierWOS:000356542100040
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.
dc.languageeng
dc.publisherIeee-inst Electrical Electronics Engineers Inc
dc.relationIeee Geoscience And Remote Sensing Letters
dc.relation2.892
dc.rightsAcesso restrito
dc.sourceWeb of Science
dc.subjectDynamic programming (DP)
dc.subjectRoad model
dc.subjectStereoscopic aerial images
dc.subject3-D road extraction
dc.titleSemiautomatic object-space road extraction combining a stereoscopic image pair and a TIN-Based DTM
dc.typeArtículos de revistas


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