Journal of Software:2000.11(7):957-964

Automatic Extraction of Main Roads from Aerial Remote Sensing Images
WEN Gong-jian,WANG Run-sheng
Chart / table
Similar Articles
Article :Browse 2593   Download 2898
Received:March 09, 1999    Revised:June 29, 1999
> 中文摘要: 如果能自动地从航空遥感图像中提取出道路网,将会简化城市地物目标的分类和测量过程.该文根据城市主要道路在图像中的特性进行了模型化处理,进而提出了基于直线的、自动提取的方法.算法重点考虑到成像过程中必然引入的各种噪声,用高斯分布函数模糊化直线参数,使提取具有良好的稳健性.算法中的参数选择都是通过理论分析所得,因此,提取过程实现了自动化.实验结果表明,该方法能够从实际航空遥感图像中提取出主要道路网.
Abstract:The classification and measuring procedure for geometrical objects of a city will be simplified if its main road network could be automatically extracted from aerial remote sensing images. In this paper, an automatic approach for extracting main city roads based on straight lines is developed, in which main city roads are modeled according to their characteristics in the image. The new method puts emphases on dealing with all kinds of noise from the imaging process, and uses Gaussian distribution to blur parameters of straight lines in order to ensure extraction robustness. All parameters of this method are acquired by theoretic analysis so that the extraction process is automatic. The experimental results show that the main road network can be extracted from real aerial remote sensing images.
文章编号:     中图分类号:    文献标志码:
基金项目:本文研究得到国家863高科技项目基金(No.863-308-13-02(4))资助. 本文研究得到国家863高科技项目基金(No.863-308-13-02(4))资助.
Foundation items:
Reference text:


WEN Gong-jian,WANG Run-sheng.Automatic Extraction of Main Roads from Aerial Remote Sensing Images.Journal of Software,2000,11(7):957-964