Automated extraction of road network from medium-and high-resolution images

被引：31

作者：

Dal Poz A.P. ^{[1
]}

Zanin R.B. ^{[1
]}

Do Vale G.M. ^{[1
]}

机构：

[1] São Paulo State University, Department of Cartography, 19060-900, Presidente Prudente, SP, Rua Roberto Simonsen

来源：

Pattern Recognition and Image Analysis | 2006年 / 16卷 / 2期

基金：

巴西圣保罗研究基金会;

关键词：

Road Network; Road Segment; Lidar Data; Straight Line Segment; Road Crossing;

D O I：

10.1134/S1054661806020118

中图分类号：

学科分类号：

摘要：

This paper presents an automatic methodology for road network extraction from medium-and high-resolution aerial images. It is based on two steps. In the first step, the road seeds (i.e., road segments) are extracted using a set of four road objects and another set of connection rules among road objects. Each road object is a local representation of an approximately straight road fragment and its construction is based on a combination of polygons describing all relevant image edges, according to some rules embodying road knowledge. Each road seed is composed by a sequence of connected road objects in which each sequence of this type can be geometrically structured as a chain of contiguous quadrilaterals. In the second step, two strategies for road completion are applied in order to generate the complete road network. The first strategy is based on two basic perceptual grouping rules, i.e., proximity and collinearity rules, which allow the sequential reconstruction of gaps between every pair of disconnected road segments. This strategy does not allow the reconstruction of road crossings, but it allows the extraction of road centerlines from the contiguous quadrilaterals representing connected road segments. The second strategy for road completion aims at reconstructing road crossings. Firstly, the road centerlines are used to find reference points for road crossings, which are their approximate positions. Then these points are used to extract polygons representing the contours of road crossings. This paper presents the proposed methodology and experimental results. © Pleiades Publishing, Inc. 2006.

引用

页码：239 / 248

页数：9

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