[1]方莉娜,卢丽靖,赵志远,等.采用车载激光雷达的带状地物矢量化与结构特征提取[J].华侨大学学报(自然科学版),2020,41(6):797-807.[doi:10.11830/ISSN.1000-5013.202001016]
 FANG Lina,LU Lijing,ZHAO Zhiyuan,et al.Vectorization and Structural Feature Extraction of Strip Objects Using Vehicle-Mounted LiDAR[J].Journal of Huaqiao University(Natural Science),2020,41(6):797-807.[doi:10.11830/ISSN.1000-5013.202001016]
点击复制

采用车载激光雷达的带状地物矢量化与结构特征提取()
分享到:

《华侨大学学报(自然科学版)》[ISSN:1000-5013/CN:35-1079/N]

卷:
第41卷
期数:
2020年第6期
页码:
797-807
栏目:
出版日期:
2020-11-20

文章信息/Info

Title:
Vectorization and Structural Feature Extraction of Strip Objects Using Vehicle-Mounted LiDAR
文章编号:
1000-5013(2020)06-0797-11
作者:
方莉娜123 卢丽靖123 赵志远123 陈崇成123
1. 福州大学 地理空间信息技术国家地方联合工程研究中心, 福建 福州 350002;2. 福州大学 空间数据挖掘与信息共享教育部重点实验室, 福建 福州 350002;3. 福州大学 数字中国研究院, 福建 福州 350002
Author(s):
FANG Lina123 LU Lijing123 ZHAO Zhiyuan123 CHEN Chongcheng 123
1. National Engineering Research Centre of Geospatial Information Technology, Fuzhou University, Fuzhou 350002, China; 2. Key Laboratory of Spatial Data Mining and Information Sharing of Ministry of Education, Fuzhou University, Fuzhou 350002, China; 3. Academy of Digital China, Fuzhou University, Fuzhou 350002, China
关键词:
车载激光雷达 Ribbon Snake模型 带状地物 矢量化 结构特征提取
Keywords:
vehicle-mounted LiDAR Ribbon Snake model strip objects vectorization structural feature extraction
分类号:
P208
DOI:
10.11830/ISSN.1000-5013.202001016
文献标志码:
A
摘要:
针对车载激光点云带状地物形状多样、难以用规则语义信息矢量化,以及结构语义信息提取研究较少的问题,提出一种基于Ribbon Snake模型的车载激光雷达带状地物(道路边界、实线型标线、铁轨)矢量化与结构特征提取方法.首先,通过格网剖分构建点云特征图,利用Ribbon Snake模型提取带状地物矢量化数据;然后,分析不同道路和铁路场景的结构特征,生成具有准确几何和拓扑结构信息的三维矢量数据和属性数据.实验表明:该方法能够准确地提取带状地物矢量化与结构信息,实现不同场景下带状地物的有效完整描述.
Abstract:
Due to the diverse shapes of strip objects, it is difficult to use regular semantic information for vectorization, and there is less research on structural semantic information extraction, a novel method for vectorization and structural feature extraction of strip objects(road boundary, solid line marking, railroad track)from vehicle-mounted LiDAR based on Ribbon Snake model is proposed. Firstly, a point cloud feature map was generated based on the salient strip points, and the Ribbon Snake model is used to extract the vectorization boundaries of the strip objects. Then analyze the structural characteristics of different road and railway scenes to generate 3D vector data and attribute data with accurate geometric and topological structure information. Experiments showed that the proposed method has accurately gained vectorization and structure information of strip objects, and achieved effective and complete description of strip objects in various scenes.

参考文献/References:

[1] 林阳斌.大规模三维点云的线结构描述[D].厦门:厦门大学,2016.
[2] 杨必胜,梁福逊,黄荣刚.三维激光扫描点云数据处理研究进展、挑战与趋势[J].测绘学报,2017,46(10):1509-1516.DOI:10.11947/j.AGCS.2017.20170351.
[3] 张继贤,林祥国,梁欣廉.点云信息提取研究进展和展望[J].测绘学报,2017,46(10):1460-1469.DOI:10.11947/j.AGCS.2017.20170345.
[4] SERNA A,MARCOTEGUI B.Detection, segmentation and classification of 3D urban objects using mathematical morphology and supervised learning[J].ISPRS Journal of Photogrammetry and Remote Sensing,2014,93:243-255.DOI:10.1016/j.isprsjprs.2014.03.015.
[5] 王果,崔希民,袁德宝,等.车载激光点云领域比较的道路边线提取方法[J].测绘通报,2012(9):55-57.
[6] ZHANG Wende.LiDAR-based road and road-edge detection[C]//IEEE Intelligent Vehicles Symposium.La Jolla:IEEE Press,2010:845-848.DOI:10.1109/IVS.2010.5548134.
[7] 方莉娜,黄志文,罗海峰,等.车载激光扫描数据中实线型交通标线提取[J].测绘学报,2019,48(8):960-974.DOI:10.11947/j.AGCS.2019.20180579.
[8] 李永强,王文越,郑艳慧,等.基于车载LiDAR数据的道路边界精细提取[J].河南理工大学学报(自然科学版),2014,33(4):458-462.DOI:10.3969/j.issn.1673-9787.2014.04.011.
[9] 罗海峰,方莉娜,陈崇成.车载激光扫描数据路坎点云提取方法[J].地球信息科学学报,2017,19(7):861-871.DOI:10.3724/SP.J.1047.2017.00861.
[10] LIU Zhao,WANG Jinling,LIU Daxue.A new curb detection method for unmanned ground vehicles using 2D sequential laser data[J].Sensors,2013,13(1):1102-1120.DOI:10.3390/s130101102.
[11] 方莉娜,杨必胜.车载激光扫描数据的结构化道路自动提取方法[J].测绘学报,2013,42(2):260-267.
[12] YANG Bisheng,FANG Lina.Automated extraction of 3-D railway tracks from mobile laser scanning point clouds[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing,2014,7(12):4750-4761.DOI:10.1109/JSTARS.2014.2312378.
[13] 闫兆进,孟丽娜.基于直线特征检测的道路边线自动提取方法[J].测绘工程,2017,26(3):42-45.DOI:10.19349/j.cnki.issn1006-7949.2017.03.009.
[14] KASS M,WITKIN A,TERZOPOULOS D.Snakes: Active contour models[J].International Journal of Computer Vision,1988,1(4):321-331.DOI:10.1007/BF00133570.
[15] COHEN L D.On active contour models and balloons[J].CVGIP:Image Understanding,1991,53(2):211-218.DOI:10.1016/1049-9660(91)90028-n.
[16] KUMAR P,LEWIS P,MCCARTHY T.The potential of active contour models in extracting road edges from mobile laser scanning data[J].Infrastructures,2017,2(3):9.DOI:10.3390/infrastructures2030009.
[17] KUMAR P,MCELHINNEY C P,LEWIS P,et al.An automated algorithm for extracting road edges from terrestrial mobile LiDAR data[J].ISPRS Journal of Photogrammetry and Remote Sensing,2013,85:44-55.DOI:10.1016/j.isprsjprs.2013.08.003.
[18] XU Chenyang,PRINCE J L.Gradient vector flow: A new external force for snakes[C]//Computer Vision and Pattern Recognition.San Juan:IEEE Press,1997:66.DOI:10.1109/CVPR.1997.609299.
[19] 韩婷,杨必胜,袁鹏飞,等.OSM辅助的车载激光点云道路三维矢量边界提取[J].测绘科学技术,2018,6(2):128-140.DOI:10.12677/GST.2018.62015.
[20] LAPTEV I,MAYER H,LINDEBERG T,et al.Automatic extraction of roads from aerial images based on scale space and snakes[J].Machine Vision and Applications,2000,12(1):23-31.DOI:10.1007/s001380050121.
[21] BOYKO A,FUNKHOUSER T.Extracting roads from dense point clouds in large scale urban environment[J].ISPRS Journal of Photogrammetry and Remote Sensing,2011,66(6):S2-S12.DOI:10.1016/j.isprsjprs.2011.09.009.
[22] 张攀,郑珂,王军德,等.拓扑模型下的导航地图道路曲率引入[J].测绘通报,2015(11):52-56.DOI:10.13474/j.cnki.11-2246.2015.0345.
[23] 贺勇.基于高精细地图的GPS导航方法研究[D].上海:上海交通大学,2015.
[24] 汤国安,杨昕.ArcGIS地理信息系统空间分析实验教程[M].北京:科学出版社,2012.

备注/Memo

备注/Memo:
收稿日期: 2020-01-14
通信作者: 方莉娜(1983-),女,助理研究员,博士,主要从事激光点云数据处理的研究.E-mail:fangln@fzu.edu.cn.
基金项目: 国家自然科学基金青年基金资助项目(41501493); 福建省自然科学基金资助项目(2017J01465); 中国博士后科学基金资助项目(2017M610391)http://www.hdxb.hqu.edu.cn
更新日期/Last Update: 2020-11-20