基于高分辨率遥感影像的城市群交通路网监测技术研究
发布时间：2019-03-07 13:21
【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。
[Abstract]:In order to promote the application of high resolution remote sensing image in traffic industry and to improve the planning, investigation and management level of urban agglomeration traffic network, high score remote sensing is applied to urban cluster network monitoring. The road information extraction of high-resolution remote sensing image is realized by using the partition man-machine interactive SNAKES algorithm, and the vehicle information extraction is realized by using edge detection and support vector machine (SVM) algorithm. On this basis, the application of road network and vehicle vector information to urban agglomeration traffic status discrimination, new residential bus station demand analysis and other traffic industry application techniques are expounded, which lays a foundation for further application in the future.
【作者单位】： 湖南工业大学机械工程学院;中国交通通信信息中心;
【基金】：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
【分类号】：U495
本文编号：2436160
[Abstract]:In order to promote the application of high resolution remote sensing image in traffic industry and to improve the planning, investigation and management level of urban agglomeration traffic network, high score remote sensing is applied to urban cluster network monitoring. The road information extraction of high-resolution remote sensing image is realized by using the partition man-machine interactive SNAKES algorithm, and the vehicle information extraction is realized by using edge detection and support vector machine (SVM) algorithm. On this basis, the application of road network and vehicle vector information to urban agglomeration traffic status discrimination, new residential bus station demand analysis and other traffic industry application techniques are expounded, which lays a foundation for further application in the future.
【作者单位】： 湖南工业大学机械工程学院;中国交通通信信息中心;
【基金】：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
【分类号】：U495
【相似文献】
相关期刊论文 前3条
1 许高程;毕建涛;王星星;屈鸿钧;;面向对象的高分辨率遥感影像道路自动提取实验[J];遥感信息;2012年02期
2 朱晓铃;邬群勇;;基于高分辨率遥感影像的城市道路提取方法研究[J];资源环境与工程;2009年03期
3 ;[J];;年期
相关会议论文 前1条
1 张素莉;潘欣;李晓峰;孟祥萍;;基于自主智能体的高分辨率遥感影像平行道路提取[A];第13届中国系统仿真技术及其应用学术年会论文集[C];2011年
相关硕士学位论文 前1条
1 王双;高分辨率遥感影像道路提取方法研究[D];南京理工大学;2014年
，本文编号：2436160
本文链接：https://www.wllwen.com/kejilunwen/daoluqiaoliang/2436160.html
