A Rasterization-based Hierarchical Approach for Urban Road Centerline Extraction from Crowdsourcing GPS Floating Car Data

doi:10.13474/j.cnki.11-2246.2015.0236

Abstract

CLC Number:

P237

WANG Zhenhua, HU Xiangyun, SHAN Jie. A Rasterization-based Hierarchical Approach for Urban Road Centerline Extraction from Crowdsourcing GPS Floating Car Data[J]. 测绘通报, 2015, 0(8): 22-24,34.

[1] 马力.基于整体优先性的遥感影像道路信息提取研究[D].武汉:武汉大学,2011.
[2] GILES J. Wikipedia Rival Calls in the Experts[J]. Nature, 2006, 443(5): 493.
[3] LI J, QIN Q,XIE Chao, et al. Integrated Use of Spatial and Semantic Relationships for Extracting Road Networks from Floating Car Data[J]. International Journal of Applied Earth Observation and Geoinformation, 2012(19): 238-247.
[4] ZHANG L, THIEMANN F, SESTER M. Integration of GPS Traces with Road Map[C]//Proceedings of the Workshop on Computational Transportation Science in Conjunction with ACM SIGSPATIAL. San Jose:[s.n.], 2010.
[5] CAO L L, KRUMM J. From GPS Traces to a Routable Road Map[C] //Proceeding of the 17th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems.New York:ACM,2009: 3-12.
[6] EKPENYONG F, PALMER-BROWN D, BRIMICOMBE A. Extracting Road Information from Recorded GPS Data Using Snap-drift Neural Network[J]. Neurocomputing, 2009(73):24-36.
[7] DAVIES J, BERESFORD A, HOPPER A. Scalable, Distributed, Real-time Map Generation [J]. IEEE Transactions on Pervasive Computing, 2006, 5 (4): 47-54.
[8] 李宇光, 李清泉. 基于矢量道路栅格化的海量浮动车数据快速处理[J]. 公路交通科技, 2010, 27(3): 136-141.
[9] ZHAO Y, LIU J, CHEN RQ, et al. A New Method of Road Network Updating Based on Floating Car Data[C]//2011 IEEE International Geoscience and Remote Sensing Symposium.[S.l.]:IEEE,2011: 1878-1881.
[10] GUNILLA B. Distance Transformations in Digital Images[J]. Computer Vision, Graphics, and Image Processing, 1986(34): 344-371.
[11] DOUGLAS D H, PEUCKER T K. Algorithms for the Reduction of the Number of Points Required to Represent a Digitized Line or Its Caricature[J]. The Canadian Cartographer, 1973, 10(2): 112-122.

[1]	WANG Yanjun, LIN Yunhao, WANG Shuhan, LI Shaochun, WANG Mengjie. 3D road boundary extraction based on mobile laser scanning point clouds and OSM data [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 18-25.
[2]	LIU Lin, SUN Yi, LI Wanwu. Detection model construction based on CNN for offshore drilling platform and training algorithm analysis [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 26-32,99.
[3]	KONG Ruiyao, XIE Tao, MA Ming, KONG Ruilin. Application of CatBoost model in water depth inversion [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 33-37.
[4]	WEN Yuxiao, Lü Jie, MA Qingxun, ZHANG Peng, XU Ruling. Study on inversion of forest biomass by LiDAR and hyperspectral [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 38-42.
[5]	JIANG Zelin, DENG Jian, LUAN Haijun, LI Lanhui. Rapid extraction of COVID-19 information based on nighttime light remote sensing: a case study of Beijing [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 43-48.
[6]	ZHENG Yan, HE Huan, BU Lijing, JIN Xin. Super-resolution reconstruction method based on self-similarity and edge-preserving decomposition [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 54-59.
[7]	RAN Chongxian, LI Senlei. Tree canopy delineation using UAV multispectral imagery [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 112-117.
[8]	LIU Li, DONG Xianmin, LIU Juan, WEN Xuehu. A new method of remote sensing interpretation production based on integration of human-machine and intelligence [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 118-123,137.
[9]	AI Min, JING Hui, TIAN Yudong, GUO Lanqin, PEI Yuanjie. Analysis of land use and coverage change and driving force in Hulan district of Harbin city in recent 20 Years [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 124-128.
[10]	LIU Yuxian, RUAN Minghao, YAN Zhen. A method for accurate extraction of gated electric towers based on airborne laser point cloud [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 129-133.
[11]	LIU Guochao, PENG Weiping, YANG Shuihua, HU Zhouwen. Detection and application of urban road disease based on ground penetrating radar+3D measuring endoscope [J]. Bulletin of Surveying and Mapping, 2022, 0(7): 134-137.
[12]	LIU Xiaoyu, LIU Yang, DU Mingyi, ZHANG Min, JIA Jingjue, YANG Heng. Research on construction and demolition waste stacking point identification based on DeeplabV3+ [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 16-19,43.
[13]	LI Jiahao, ZHOU Lü, MA Jun, YANG Fei, XIAN Lingxiao. Deformation monitoring and mechanism analysis of urban subway line based on PS-InSAR technology [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 20-25.
[14]	SHI Yun, SHI Longlong, NIU Minjie, ZHAO Kan. Multi-task automatic identification of loess landslide based on one-stage instance segmentation network [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 26-31.
[15]	DOU Shiqing, CHEN Zhiyu, XU Yong, ZHENG Hegang, MIAO Linlin, SONG Yingying. Hyperspectral image classification based on multi-feature fusion and dimensionality reduction algorithms [J]. Bulletin of Surveying and Mapping, 2022, 0(4): 32-36,50.

A Rasterization-based Hierarchical Approach for Urban Road Centerline Extraction from Crowdsourcing GPS Floating Car Data

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments