摘要
从遥感图像中提取道路特征已有许多研究,但仍然存在许多问题有待解决。该文主要对IKONOS1m分辨率遥感城市图像的半自动提取方法进行一般性的研究,并且对各个方法的特点进行了分析,可以针对不同的情况,适当的选择不同的方法,对城市中智能交通起到决策性的作用。
It is still an open problem to extract road feature from remotely sensed image,But there had been a lot efforts put in this area. This paper mainly discuss general methods for the half-automatically extraction of road information from IKONOS 1m-resolution remotely sensed urban image, and analyzes the characteristics of every method ,we can choose different approaches according to different cases,so these approaches play a decisionmaking role on intellective traffic.
出处
《计算机仿真》
CSCD
2003年第9期106-108,共3页
Computer Simulation
