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遥感技术与应用  2015, Vol. 30 Issue (1): 76-81    DOI: 10.11873/j.issn.1004-0323.2015.1.0076
图像与数据处理     
基于高分辨率遥感影像的城市群交通路网监测技术研究
张勇1,谷正气1,刘水长1,罗伦2,李程2
(1.湖南工业大学机械工程学院,湖南 株洲412000;
2.中国交通通信信息中心,北京100011)
Study on Transportation Network Monitoring based on High Resolution Aerial Images for City\|clusters
Zhang Yong1,Gu Zhengqi1,Liu Shuichang1,Luo Lun2,Li Cheng2
(1.School of Mechanical Engineering Hunan University of Technology,Zhuzhou 412007,China;
2.China Transport Telecommunication &Information Center,Beijing 100011,China)
 全文: PDF(3955 KB)  
摘要:

为了推动高分辨率遥感影像在交通行业的应用,提升城市群交通路网规划、调查与管理水平,将高分遥感应用于城市群路网监测。应用分区人机交互式SNAKES算法实现了高分辨率遥感影像道路信息提取,利用边缘检测结合支持向量机算法实现车辆信息提取。在此基础上,阐述了应用路网和车辆矢量信息开展城市群交通状态判别、新建住宅公交站点需求分析等交通行业应用技术方法,为今后深入应用奠定了基础。

关键词: 高分辨率遥感影像信息提取路网监测城市群    
Abstract:

In order to promote the application of high spatial resolution remote sensing image in traffic industry and enhance the levels of planning,investigation and management in transportation network for city\|clusters,the applications of HSRRS to monitor the transportation network condition is proposed paper in this.On the basis of the applications of the partition man\|machine interactive SNAKES algorithm and the edge detection combined with Support Vector Machine algorithm respectively in the information extractions of the road and the vehicle in high resolution remote sensing image,application technologies and methods in traffic industry are elaborated,such as the transportation network and the vehicle vector information were used to judge city\|clusters traffic queue state and the demand analysis of new residential bus station,and a foundation is established for future in\|depth application.

Key words: High spatial resolution remote sensing image    Information extraction    Transportation network monitoring    City\    clusters
收稿日期: 2013-12-12 出版日期: 2015-03-11
:  U 491.12  
基金资助:

交通运输部重点项目“基于HR影像数据的城市群路网监测系统研究及应用示范”(2012-364-208-802-2)、中央财政支持地方高校专项资金项目“汽车空气动力学及关键零部件加工制造创新团队”(0420036017)资助。

通讯作者: 刘水长(1981-),女,湖南攸县人,讲师,主要从事交通工程和车辆工程领域的教学与研究。Email:liushuichang100@163.com。   
作者简介: 张勇(1979-),男,陕西汉中人,讲师,主要从事交通工程和车辆工程领域的教学与研究。Email:zhangyong7051678@163.com。
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引用本文:

张勇,谷正气,刘水长,罗伦,李程. 基于高分辨率遥感影像的城市群交通路网监测技术研究[J]. 遥感技术与应用, 2015, 30(1): 76-81.

Zhang Yong,Gu Zhengqi,Liu Shuichang,Luo Lun,Li Cheng. Study on Transportation Network Monitoring based on High Resolution Aerial Images for City\|clusters. Remote Sensing Technology and Application, 2015, 30(1): 76-81.

链接本文:

http://www.rsta.ac.cn/CN/10.11873/j.issn.1004-0323.2015.1.0076        http://www.rsta.ac.cn/CN/Y2015/V30/I1/76

[1]Li Xiaofeng,Zhang Shuqing,Han Fuwei,et al.Road Extraction from High Resolution Remote Sensing Images based on Multiple Information Fusion[J].Acta Geodaetica et Cartographica Sinica,2008,37(2):178-184.[李晓峰,张树清,韩富伟,等.基于多重信息融合的高分辨率遥感影像道路信息提取[J].测绘学报,2008,37(2):178-184.]

[2]Gao Lipeng,Shi Wenzhong,Lü Zhiyong,et al.Road Network Extraction based on Airborne LiDAR and High Resolution Remote Sensing Imagery[J].Remote Sensing Technology and Application,2013,28(4):562-568.[高利鹏,史文中,吕志勇,等.基于机载LiDAR和高分辨率遥感影像的城市道路网提取[J].遥感技术与应用,2013,28(4):562-568.]

[3]Li Hui,Zhong Cheng,Huang Xianfeng,et al.Development of 3D Road Reconstruction with LiDAR Fusion and Remote Sensing Images[J].Journal of Geomatics,2010,35(1):30-32.[李卉,钟成,黄先锋,等.基于LiDAR和RS影像的道路三维模型重建研究进展[J].测绘信息与工程,2010,35(1):30-32.]〖JP[4]Tang Wei,Zhao Shuhe,Wang Peifa.Object-oriented Road Information Extraction from High Resolution Imagery[J].Geo Information Science,2008,10(2):257-262.[唐伟,赵书河,王培法.面向对象的高空间分辨率遥感影像道路信息的提取[J].地球信息科学,2008,10(2):257-262.]

[5]Li Chengfan,Liu Lan,Zhou Tinggang.Study on Road Extraction from High-resolution Remote Sensing Images based on Street Trees[J].Remote Sensing Information,2009(1):32-35.[李成范,刘岚,周廷刚.基于行道树的高分辨率遥感影像道路提取研究[J].遥感信息,2009,(1):32-35.]

[6]Hibz S,Baumgartner A.Automatic Extraction of Urban Road Networks from Multiview[J].Photogrammetry and Remote Sensing,2003,58(1-2):83-98.

[7]Qian Jiahang,Wang Jinliang,Ma Rubiao,et al.Feature Semantics Information Extraction of Urban Road based on QuickBird Imagery[J].Remote Sensing Technology and Application,2014,29(4):653-659.[钱家航,王金亮,马如彪,等.基于QuickBird影像城市道路特征语义信息提取[J].遥感技术与应用,2014,29(4):653-659.]

[8]Liu Jianxin.The Study of Algorithm about Vehicle Detection based on High Resolution Satellite Image[D].Dalian:Dalian Maritime University,2008.[刘建鑫.基于高分辨率卫星影像的车辆检测算法研究[D].大连:大连海事大学,2008.]

[9]Zhang Yong,Niu Chenglei,Gu Zhengqi,et al.SURF and SVM based Vehicle Information Extraction from High Resolution Remote Sensing Image[J].Journal of Hunan University of Technology,2014,28(2):67-71.[张勇,牛成磊,谷正气,等.结合SURF与SVM的高分辨率遥感影像车辆提取技术[J].湖南工业大学学报,2014,28(2):67-71.]

[10]Xu Jinliang,Tian Lin,Niu Dongyu.Ecological Highway Route Selection of Karst Area based on RS-GIS[J].Journal of Chang’an University(Natural Science Edition),2013,33(2):1-8.[许金良,田林,牛冬瑜.基于RS-GIS的喀斯特地区公路生态选线[J].长安大学学报(自然科学版),2013,33(2):1-8.]〖JP〗

[11]Zhang Jicheng,Pan Xinchun.Comprehensive as Sessment for Ch-ange of Ecological Environment in Qinghai Tibet Plateau based on RS/GIS and AHP-GPCA Model[J].Journal of Earth Sciences and Environment,2011,33(4):434-440.[张继承,潘新春.基于RS-GIS和AHP-GPCA模型的青藏高原生态环境变迁综合评价[J].地球科学与环境学报,2011,33(4):434-440.]〖JP〗

[12]Zeng Jing.Seeing Application of Remote Sensing in Research on Landslide Disaster from SCI Papers[J].Information Research,2013,(7):21-25.[曾敬.从 SCI文献看遥感在崩滑流灾害研究中的应用[J].情报探索,2013,(7):21-25.]

[13]Wang Min,Yang Xiaomei,Lü Guonian.A Semi-automatic R-oad Extracting Method for High Spatial Resolution Remotely Sensed Imagery[J].Journal of Image and Graphics,2008,13(7):1321-1328.[汪闽,杨晓梅,闾国年.扫描蛇:一种从高分辨率遥感图像上提取道路的新方法[J].中国图象图形学报,2008,13(7):1321-1328.]

[14]Zhang Yong,Gu Zhengqi,Li Shuichang,et al.Application and Examples for Decision Kaking of Traffic Control with High Resolution Remote Sensing Images[J].Highway & Automotive,2013,157(4):69-71.[张勇,谷正气,刘水长,等.高分辨率遥感影像在交通限行决策中的应用[J].公路与汽运,2013,157(4):69-71.]

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