dc.contributor | Universidade do Estado de Mato Grosso (UNEMAT) | |
dc.contributor | Universidade Estadual Paulista (Unesp) | |
dc.contributor | Universidade Federal de Uberlândia (UFU) | |
dc.date.accessioned | 2015-10-21T20:48:34Z | |
dc.date.available | 2015-10-21T20:48:34Z | |
dc.date.created | 2015-10-21T20:48:34Z | |
dc.date.issued | 2015-08-01 | |
dc.identifier | Ieee Geoscience And Remote Sensing Letters. Piscataway: Ieee-inst Electrical Electronics Engineers Inc, v. 12, n. 8, p. 1790-1794, 2015. | |
dc.identifier | 1545-598X | |
dc.identifier | http://hdl.handle.net/11449/129308 | |
dc.identifier | 10.1109/LGRS.2015.2426112 | |
dc.identifier | WOS:000356542100040 | |
dc.description.abstract | In 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.language | eng | |
dc.publisher | Ieee-inst Electrical Electronics Engineers Inc | |
dc.relation | Ieee Geoscience And Remote Sensing Letters | |
dc.relation | 2.892 | |
dc.rights | Acesso restrito | |
dc.source | Web of Science | |
dc.subject | Dynamic programming (DP) | |
dc.subject | Road model | |
dc.subject | Stereoscopic aerial images | |
dc.subject | 3-D road extraction | |
dc.title | Semiautomatic object-space road extraction combining a stereoscopic image pair and a TIN-Based DTM | |
dc.type | Artículos de revistas | |