基于航空LiDAR数据的桥梁边界线提取方法

doi:10.11873/j.issn.1004-0323.2014.3.0469

遥感技术与应用

2014, Vol. 29

Issue (3): 469-475 DOI: 10.11873/j.issn.1004-0323.2014.3.0469

图像与数据处理

基于航空LiDAR数据的桥梁边界线提取方法

郑义¹,汪承义²

(1.国家基础地理信息中心,北京100830;2.中国科学院遥感与数字地球研究所,北京100101)

A Method of Bridge Outline Extraction based on Airborne LiDAR Data

Zheng Yi¹,Wang Chengyi²

(1.National Geomatics Center of China,Beijing 100830,China;
2.Institute of Remote Sensing and Digital Earth,Chinese Academy of Sciences ,Beijing 100101,China)

全文: PDF(4178 KB)

摘要：

桥梁三维信息是构建三维数字城市和虚拟地球重要的基础空间信息。快速准确地提取桥梁边界线信息是桥梁三维提取的核心问题,也是目前的研究热点。提出了一种基于航空LiDAR数据的桥梁提取方法。该方法最大的优点是采用基于知识引导进行桥梁边界线提取,通过分析桥梁的空间结构特征和几何特征,较好地提取出桥梁边界线。通过与专家人工桥梁判读的结果比较,该方法提取结果具有较高的精度。

关键词： LiDAR; DSM; 桥梁边界线提取; 空间结构特征; 几何特征

Abstract:

The three dimensional information of bridge is of great significance in building 3D digital city and virtual earth.Especially,the method of automatic and quickly extraction of bridge information from LiDAR data is a crucial problem.It is a concern of many scholars research focus.This paper presented a method of bridge extraction using airborne LiDAR data.The biggest advantage of the method is based on priori\|knowledge by analyzing the spatial structural characteristics and geometric characteristics of the bridge.Experiments show that this method has a good accuracy compared with the result of expert interpretation.

Key words: LiDAR DSM Bridge outline extraction Spatial structural characteristics Geometric characteristics

收稿日期: 2013-03-15 出版日期: 2014-06-23

ZTFLH:

TN 958.98

基金资助:

科技支撑“十二五国家科技支撑计划” 课题“多源航空遥感数据一体化处理与产品加工系统”(2011BAH12B04)和课题“航空遥感数据自动处理与加工技术框架与规范研究”(2011BAH12B01)。

通讯作者: 汪承义(1975-),男,湖北阳新人,副研究员,主要从事LiDAR数据处理及三维重建、遥感图像处理等方面的研究。Email:wangcycastle@163.com。

作者简介: 郑义(1986-),男,湖北仙桃人,博士研究生,主要从事遥感图像处理和LiDAR数据处理等方面的研究。Email:zhengyi@irsa.ac.cn。

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引用本文:

郑义,汪承义. 基于航空LiDAR数据的桥梁边界线提取方法[J]. 遥感技术与应用, 2014, 29(3): 469-475.

Zheng Yi,Wang Chengyi. A Method of Bridge Outline Extraction based on Airborne LiDAR Data. Remote Sensing Technology and Application, 2014, 29(3): 469-475.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2014.3.0469 或 http://www.rsta.ac.cn/CN/Y2014/V29/I3/469

［1］Vosselman G ,de Knecht.Road Tracing by Profile Matching and Kalman Filtering［J］.ISPRS Journal of Photogrammetry & Remote Sensing,1995,(7):265-274.

［2］Vosselman G,Sithole G.Bridge Detection in Airborne Laser Scanner Data［J］.ISPRS Journal of Photogrammetry & Remote Sensing,2006,(6):33-46.

［3］Poonam S.Automatic Urban Road Extraction Using Airborne Laser Scanning/Altimetry and High Resolution Satellite Data［J］.Journal of Indian Society Remote Sensing,2009,(6):223-231.

［4］Koutaki G,Uchimura K.Automatic Road Extraction based on Cross Detection in Suburb［C］//Proceedings of the Conference on Computational Imaging II.San Jose,USA:SPIE,2004:337-344.

［5］Hu Y.Automated Extraction of Digital Terrain Models,Roads and Buildings Using Airborne LiDAR Data［D］.Calgary:University of Calgary,2003.

［6］Trias-Sanz L.Integrating Textural and Geometric Information for an Automatic Bridge Detection System［J］.Geoscience and Remote Sensing Symposium,IGARSS,2003,(6):3952-3954.［7］Sithole G.Segmentation and Classification of Airborne Laser Scanner Data［M］.Netherlands:Optima Graphic Communication,Rotterdam,2005.

［8］Chen Lei,Zhao Shuhe.An Improved Plane Fitting based Filtering Algorithm for Airborne LiDAR Data［J］.Remote Sensing Technology and Application,2011,26(1):117-122.［陈磊,赵书河.一种改进的基于平面拟合的机载LiDAR 点云滤波方法［J］.遥感技术与应用,2011,26(1):117-122.］

［9］Wang Jinliang,Chen Lianjun.Review on Filtering Algorithm for LIDAR Points Cloud Data［J］.Remote Sensing Technology and Application,2010,25(5)25:632-638.［王金亮,陈联君.激光雷达点云数据的滤波算法述评［J］.遥感技术与应用,2010,25(5):632-638.］

［10］Sui Lichun,Zhang Shuo,Chen Wei.Filtering of Airborne LiDAR Point Cloud Data based on Progressive TIN［J］.Geomatics and Information Science of Wuhan University,2011,10(3):39-41.［隋立春,张硕,陈卫.基于渐进三角网的机载LiDAR点云数据滤波［J］.武汉大学学报(信息科学版),2011,10(3):39-41.］

［11］Gong Liang,Zhang Yongsheng,Li Zhengguo.A Filtering Method of Airborne LiDAR Data based on Hierarchical Pseudo-grid Concept and Slope Threshold［J］.Science of Surveying and Mapping,2012,(1):29-32.［龚亮,张永生,李正国.基于多尺度虚拟网格与坡度阈值的机载LiDAR点云滤波方法［J］.测绘科学,2012,(1):29-32.］

［12］Li Hui.Road Extraction and Modeling with LiDAR and RS Image in Urban Area［J］.Acta Geodaetica et Cartographica Sinica,2011,(1):40-42.［李卉.集成LiDAR和遥感影像城市道路提取与三维建模［J］.测绘学报,2011,(1):40-42.］

［13］Han Wenquan,Hou Zhaotai,Liu Xingbo.Research on Production of Three-dimensional Electronic Map with LiDAR Technique［J］.Geomatics & Spatial Information Technology,2010,(2):7-9.［韩文泉,侯兆泰,刘行波.利用LiDAR技术生产真3维电子地形图的研究［J］.测绘科学,2010,(2):7-9.］

［14］Zheng Fengjiao.Use of Terrestrial LiDAR Technology and Moving Least Square in Three-dimensional Modeling［J］.Science of Surveying and Mapping,2012,(4):29-32.［郑凤娇.地面LiDAR技术与移动最小二乘法在三维建模中的应用［J］.测绘科学,2012,(4):29-32.］

［15］Dong Baogen,Zhang Liang,Zhang Gang.Smooth Shoreline Extraction with Topographic Constraints Using LiDAR Point Clouds［J］.Journal of Geomatics Science and Technology,2012,(2):78-81.［董保根,张良,张钢.利用LiDAR点云提取有地形约束的光滑海岸线［J］.测绘科学技术学报,2012,(2):78-81.］

［16］Hu Yanping,Zhang Liting.Advances in Road Feature Extraction［J］.Geospatial Information,2010,(6):108-111.［胡燕平,张立亭.道路特征提取研究进展［J］.地理空间信息,2010,(6):108-111.］

［17］Zhou Anfa,Zhou Jiaxiang.A Methodology for Road Extraction from High Resoloution Remote Sensing Images［J］.Remote Sensing Technology and Application,2012,27(1):94-99.［周安发,周家香.一种高分辨率遥感影像道路信息提取方法［J］.遥感技术与应用,2012,27(1):94-99.］

［18］Zhang Hao,Jiang Lihui,Wang Chengyi.Study on Data Interpolation Algorithms for Creating DSM from LiDAR Point Cloud［J］.Modern Electronics Technique,2007,(1):4-7.［张昊,蒋立辉,汪承义.基于LiDAR 点云生成DSM的插值方法研究［J］.现代电子技术,2007,(1):4-7.］

［19］Wang Chengyi,Zhao Zhongming.Digital Surface Model Generation from LIDAR Data in Urban Areas［J］.Computer Engineering,2008,(1):59-63.［汪承义,赵忠明.基于 LIDAR 数据的城市数字表面模型生成技术［J］.计算机工程,2008,(1):59-63.］

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