首页 > 论文 > 光电工程 > 40卷 > 3期(pp:81-86)

自动道路种子点提取与模板生成

Road Seed Extraction and Template Generation for the Traffic Flow Monitoring

  • 摘要
  • 论文信息
  • 参考文献
  • 被引情况
  • PDF全文
分享:

摘要

为了在面向交通流监测的航摄图像分析中,使用模板匹配的方法提取道路交通流信息,需要首先计算道路区域的位置和用于追踪道路的模板。实时自动地提取用于识别道路的种子点和追踪模板,为此提出了一种一维无标记分水岭分割方法,需要简单的图像特征计算,不需要人工标记。通过计算道路截面极值,提取波谷区域,然后计算区域相似度,合并相似区域得到分割结果;通过对区域进行排名,并进行区域内放射搜索,识别出道路区域,计算道路追踪模板。结果表明与 Canny边缘提取和 Hough直线提取结果相比,人工干预较少;且数据处理量减小、道路提取效率提高;模板计算结果较好。

Abstract

In order to extract the road traffic flow information using UAV images, it is necessary to calculate the location of the road area and generate the road template for road tracking. Real-time calculation requires automated seed points extraction for identifying road and generating tracing template. A one-dimensional unmarked watershed segmentation method is proposed, which needs to calculate using the simple image feature, and don't need manual seed points mark. Firstly, by recognizing sectional extremum in the profile of source image road, the valley regions are extracted between extremums and the similarity is calculated through the region. Then, combine the nearly similar regions, get the segmentation results. Secondly, rank the segmentation regions, search radiology in the ranked regions, and identify the road area and calculate road track template. Experimental results show that the method need less manual intervention and more efficiency than the Canny edge extraction and Hough line extraction under the same conditions. By fitting the road edge points by the least squares method to get the direction of the road, the calculation of road direction is accurate, and the calculated tracking template is consistent with the actual that.

广告组1 - 空间光调制器+DMD
补充资料

中图分类号:P231

DOI:10.3969/j.issn.1003-501x.2013.03.013

所属栏目:图像与信号处理

基金项目:高等学校博士学科点专项科研基金(20100184110019)

收稿日期:2012-09-17

修改稿日期:2012-11-29

网络出版日期:--

作者单位    点击查看

张帅毅:西南交通大学地球科学与环境工程学院,成都 610031
李永树:西南交通大学地球科学与环境工程学院,成都 610031
聂喜柯:中国科学院地质与地球物理研究所,北京 100029

联系人作者:张帅毅(shuaiyigis@gmail.com)

备注:张帅毅(1988-),男(汉族),河南洛阳人。博士研究生,主要研究工作是图像识别、智能交通系统。

【1】史文中,朱长青,王昱 . 从遥感影像提取道路特征的方法综述与展望 [J].测绘学报, 2001,30(3):257-262. SHI Wenzhong,ZHU Changqing,WANG Yu. Road Feature Extraction from Remotely Sensed Image:Review and Prospects [J]. Acta Geodaetica et Cartographica Sinica,2001,30(3):257-262.

【2】吴亮,胡云安 . 遥感图像自动道路提取方法综述 [J].自动化学报, 2010,36(7):912-922. WU Liang,HU Yunan. A Survey of Automatic Road Extraction from Remote Sensing Images [J]. Acta Automatica Sinica, 2010,36(7):912-922.

【3】林祥国,张继贤,李海涛,等 . 基于 T型模板匹配半自动提取高分辨遥感影像带状道路 [J].武汉大学学报:信息科学版,2009,34(3):293-296. LIN Xiangguo,ZHANG Jixian,LI Haitao,et al. Semi-automatic Extraction of Ribbon Road from High Resolution Remotely Sensed Imagery by a T-shaped Template Matching [J]. Geomatics and Information Science of Wuhan University,2009, 34(3):293-296.

【4】朱长青,杨云,邹芳,等 . 高分辨率影像道路提取的整体矩形匹配方法 [J].华中科技大学学报:自然科学版, 2008, 36(2):75-77. ZHU Changqing,YANG Yun,ZOU Fang,et al. Total rectangle matching approach to road extraction from high resolution remote sensing images [J]. J. Huazhong Univ. of Sci. & Tech:Natural Science Edition,2008,36(2):75-77.

【5】孟樊,方圣辉. 利用模板匹配和 BSnake算法准自动提取遥感影像面状道路 [J].武汉大学学报:信息科学版, 2012,37(1):39-42.
MENG Fan,FANG Shenghui. Quasi-automatic Extraction of Zonal Roads from Remote Sensiong Images Using Template
Matching and BSnake Model [J]. Geomatics and Information Science of Wuhan University,2012,37(1):39-42.

【6】张睿,张继贤,李海涛 . 基于角度纹理特征及剖面匹配的高分辨率遥感影像带状道路半自动提取 [J].遥感学报, 2008, 12(2):42-50. ZHANG Rui,ZHANG Jixian,LI Haitao. Semi-automatic Extraction of Ribbon Roads from High Resolution Remotely Sensed Imagery Based on Angular Texture Signature and Profile Match [J]. Journal of Remote Sensing,2008,12(2):42-50.

【7】Rathinam S,Whan K Z,Sengupta R. Vision-Based Monitoring of Locally Linear Structures Using an Unmanned Aerial Vehicle [J]. Journal of Infrastructures Systems(S1076-0342),2008,14:52-63.

【8】张道兵,张慧,张正,等 . 一种稳健的道路主方向提取算法 [J].光子学报, 2007,36(B06):326-330. ZHANG Daobing,ZHANG Hui,ZHANG Zheng,et al. A Robust Main Direction Extraction Method for Road Segment [J]. Acta Pgotonica Sinica,2007,36(B06):326-330.

【9】吴小波,杨辽,沈金祥,等 . 利用空间连续性进行高分辨率遥感影像道路提取 [J].武汉大学学报:信息科学版, 2011, 36(11):1298-1301. WU Xiaobo,YANG Liao,SHEN Jinxiang,et al. Road Extraction from High-resolution Remote Sensing Images with Spatial Continuity [J]. Geomatics and Information Science of Wuhan University,2011,36(11):1298-1301.

【10】Steger C,Glock C,Eckstein W,et al. Model based Road Extraction from Images [C]//Proceedings of Automatic extraction of Man-made Objects from Aerial and Space Images,Basel:Birkhauser Verlag,1995:275-284.

【11】孙颖,何国金 . 基于标记分水岭算法的高分辨率遥感图像分割方法 [J].科学技术与工程, 2008,8(11):2776-2781. SUN Ying,HE Guojin. Segmentation of High-resolution Remote Sensing Image Based on Marker-Based Watershed Algorithm [J]. Science Technology and Engineering,2008,8(11):2776-2781.

引用该论文

ZHANG Shuaiyi,LI Yongshu,NIE Xike. Road Seed Extraction and Template Generation for the Traffic Flow Monitoring[J]. Opto-Electronic Engineering, 2013, 40(3): 81-86

张帅毅,李永树,聂喜柯. 自动道路种子点提取与模板生成[J]. 光电工程, 2013, 40(3): 81-86

您的浏览器不支持PDF插件,请使用最新的(Chrome/Fire Fox等)浏览器.或者您还可以点击此处下载该论文PDF