Heuristic road extraction

被引：10

作者：

Choi, Yun-Woong ^{[1
]}

Jang, Young Woon ^{[1
]}

Lee, Hyo Jong ^{[1
]}

Cho, Gi-Sung ^{[1
]}

机构：

[1] Chonbuk Natl Univ, Res Ctr Ind Technol, Jeonju, South Korea

来源：

2007 INTERNATIONAL SYMPOSIUM ON INFORMATION TECHNOLOGY CONVERGENCE, PROCEEDINGS | 2007年

关键词：

D O I：

10.1109/ISITC.2007.63

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

The LiDAR system is used to gather 3-D terrain information accurately and effectively. However, it is complicated to process the LiDAR data due to its irregularity and large number of collected data points. This paper proposes a novel method to extract urban road networks from 3-D LiDAR data automatically. This method uses height and reflectance of LiDAR data, and clustered road point information. Geometric information of general roads is also applied to extract road points group correctly. The proposed method has been tested on urban areas which contain complicated road networks. The results demonstrate that the integration of height, reflectance and geometric information of roads is a crucial factor that distinguishes the proposed method in its ability to classes road points reliably and correctly.

引用

页码：338 / 342

页数：5

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