地球信息科学学报 ›› 2016, Vol. 18 ›› Issue (9): 1249-1258.doi: 10.3724/SP.J.1047.2016.01249

• 遥感科学与应用技术 • 上一篇    下一篇

利用机载LiDAR数据重建大型复杂立交桥三维模型

伍阳, 程亮*(), 陈焱明, 李满春   

  1. 1. 南京大学地理信息科学系,南京 210023
    2. 江苏省地理信息技术重点实验室,南京 210023
  • 收稿日期:2015-10-26 修回日期:2016-04-18 出版日期:2016-09-27 发布日期:2016-09-27
  • 通讯作者: 程亮 E-mail:lcheng@nju.edu.cn
  • 作者简介:

    作者简介:伍阳(1992-),男,江西抚州人,硕士生,研究方向为激光雷达遥感。E-mail:Wuyang_nju@126.com

  • 基金资助:
    国家自然科学基金项目(41371017、41001238)

Three-Dimensional Reconstruction of Large Multilayer Overpass Using Airborne LiDAR Data

WU Yang, CHENG Liang*(), CHEN Yanming, LI Manchun   

  1. 1. Department of Geographic Information Science, Nanjing University, Nanjing 210023, China
    2. Jiangsu Provincial Key Laboratory of Geographic Information Science and Technology, Nanjing 210023, China
  • Received:2015-10-26 Revised:2016-04-18 Online:2016-09-27 Published:2016-09-27
  • Contact: CHENG Liang E-mail:lcheng@nju.edu.cn

摘要:

立交桥三维模型在交通导航、景观设计等方面具有重要价值。机载LiDAR平台能够快速、准确地获取地物三维点云,有助于立交桥的提取与重建。本文提出了一种基于机载LiDAR数据的大型立交桥三维模型重建方法。该方法首先从原始数据中提取立交桥点云,然后构建三维网格并根据连通性对立交桥点云进行分割,将连通桥面进一步分割为无分叉或交汇结构且宽度保持一致的“结构单元”,接着利用道路中心线的连续性对立交桥遮挡部分进行修复,并结合桥面中心线和宽度信息对桥面进行重建,最终获得完整的立交桥三维模型。为了验证方法的有效性,本文选取了2个立交桥数据进行实验。结果表明,重建模型的正确率和完整率达均到90%以上,质量较好。本文方法能够取得较好的大型立交桥三维重建效果。

关键词: LiDAR, 立交桥, 三维重建, 结构单元

Abstract:

Three-dimensional (3D) model data of overpasses is significant for traffic navigation, landscape design, and many other applications. In this study, we explore the potential of using airborne light detection and ranging (LiDAR) data for the 3D reconstruction of large multilayer overpasses. To reduce the technical difficulty of this 3D reconstruction process, we propose a concept of “structure unit”. The “structure unit” represents a contiguous object with a consistent width, but does not include the bifurcation and/or intersection structures. A new technical framework, based on the structure units, is proposed to reconstruct the 3D models of large multi-layer overpass using the airborne LiDAR data. First, the overpass points are extracted from the raw LiDAR data by using a Reversed Iterative Mathematic Morphological (RIMM) method and inputting the area of overpass. Then, the hierarchal segmentation strategy, including the connectivity-based segmentation and the determination of structure units, is used to determinate the structure units from the overpass points. The central line of each structure is derived by the binarization and vectorization operations. And the obscured structures are detected and restored based on the central lines of the overpass. Finally, the complete 3D model of the overpass can be obtained by using the complete central line and the corresponding width value. Experiments were carried out to evaluate the validities of the proposed method on two different overpasses. The completeness rates of the 3D models of overpasses A and B are 92.77% and 94.58%, respectively. And the correctness rates of the 3D models of overpasses A and B are 98.84% and 98.97%, respectively. The experimental results indicate that the proposed method can provide satisfactory 3D models for large complex overpasses, and is capable to restore the occluded structures with high quality result.

Key words: LiDAR, overpass, three-dimensional reconstruction, structure unit