2008
DOI: 10.14358/pers.74.2.227
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Extracting Urban Road Networks from High-resolution True Orthoimage and Lidar

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Cited by 37 publications
(13 citation statements)
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“…Hinz and Baumgartner (2003) have developed a detailed heuristic model for roads and their context in scale-space, using evidence from multiple overlapping aerial images. More recently, Youn et al (2008) combine an orthophoto and airborne laser scanning data to extract wide, largely unoccluded roads that follow a grid pattern. Similar to Hinz and Baumgartner (2003) and Grote et al (2012) they design a hierarchical framework which constructs longer road pieces from initial segments, but no high-level connectivity is imposed, thus many gaps remain.…”
Section: Related Workmentioning
confidence: 99%
“…Hinz and Baumgartner (2003) have developed a detailed heuristic model for roads and their context in scale-space, using evidence from multiple overlapping aerial images. More recently, Youn et al (2008) combine an orthophoto and airborne laser scanning data to extract wide, largely unoccluded roads that follow a grid pattern. Similar to Hinz and Baumgartner (2003) and Grote et al (2012) they design a hierarchical framework which constructs longer road pieces from initial segments, but no high-level connectivity is imposed, thus many gaps remain.…”
Section: Related Workmentioning
confidence: 99%
“…(Ziems et al, 2011b). Intersection: This module is based on the method developed by Youn et al (2008) for road extraction in urban areas. The underlying model is based on the structural differences between a road and a row of buildings.…”
Section: Verification Modulesmentioning
confidence: 99%
“…The confidence C build is defined on the basis of a reliability map originated from the nDSM generation process. Grassland: In (Zhang, 2004) and (Youn et al, 2008), grassland was considered as a hint against the existence of a road. As the reconstruction of a road is frequently connected with a redevelopment of grassland areas it is usually a good indicator for such a change (e.g.…”
Section: Verification Modulesmentioning
confidence: 99%
“…This module is based on the method developed by Youn et al (2008) for the task of road extraction in urban areas, where the buildings form regular grids. The underlying model is based on the structural differences between a road and a row of buildings.…”
Section: Edge Direction Analysismentioning
confidence: 99%
“…As the raw data of the matching process and the camera orientations are not available for the task, the confidence function is only based on the height h of the intersecting building and the road width w, stored in the database. The confidence C build is defined as follows: Grassland Detection: In (Zhang, 2004) and (Youn et al, 2008) grassland was considered as a hint against the existence of a road. As changes concerning the road network are frequently connected with a redevelopment of grassland areas it is usually a good indicator for changes, exemplarily shown in Figure 6.…”
Section: Edge Direction Analysismentioning
confidence: 99%