2019
DOI: 10.3390/ijgi8070303
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Skeleton Line Extraction Method in Areas with Dense Junctions Considering Stroke Features

Abstract: Extraction of the skeleton line of complex polygons is difficult, and a hot topic in map generalization study. Due to the irregularity and complexity of junctions, it is difficult for traditional methods to maintain main structure and extension characteristics when dealing with dense junction areas, so a skeleton line extraction method considering stroke features has been proposed in this paper. Firstly, we put forward a long-edge adaptive node densification algorithm, which is used to construct boundary-const… Show more

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Cited by 8 publications
(6 citation statements)
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“…Detailed solutions for generating elongated polygons based on points denoting an elongated polygon line have been proposed in the literature [40][41][42]. TIN edges that do not intersect the main direction of the anticipated polygon in a perpendicular direction pose a problem in the presented solutions.…”
Section: Methods Of Generating the Axes Of Elongated Polygonsmentioning
confidence: 99%
See 2 more Smart Citations
“…Detailed solutions for generating elongated polygons based on points denoting an elongated polygon line have been proposed in the literature [40][41][42]. TIN edges that do not intersect the main direction of the anticipated polygon in a perpendicular direction pose a problem in the presented solutions.…”
Section: Methods Of Generating the Axes Of Elongated Polygonsmentioning
confidence: 99%
“…A solution for extracting the skeleton line based on stroke features was described by [42]. In traditional approaches, the main structure and extension characteristics are difficult to maintain when dealing with dense junction areas due to the irregularity and complexity of junctions.…”
Section: Methods Of Generating the Axes Of Elongated Polygonsmentioning
confidence: 99%
See 1 more Smart Citation
“…In this study, strokes are built upon the arc-node topology structure of the road network considering the names and directions of the road segments at a junction. This process was described in detail in our previous study [ 25 ].…”
Section: Methodsmentioning
confidence: 99%
“…Step 2: To detect the adjacent line segment pairs and their bridge regions, a boundary constrained Delaunay triangulation (BCDT) is constructed [19,20,21] between the inner and outer rings. Specifically, more vertices are first added to the inner and outer rings at a certain interval to improve the robustness of the triangulation network.…”
Section: General Cleaning Algorithm For Different Visual Self-intersection Patternsmentioning
confidence: 99%