基于行道树的道路快速提取和面积计算研究

Study on Rapid Road Extraction and Area Algorithms Based on Street Trees

在城市遥感中,道路自动(半自动)提取一直是研究的重点。本文在现有道路自动(半自动)提取技术的基础上,结合高分辨率遥感影像中行道树的分布特点,从地学知识出发,利用归一化差值植被指数、阀值分割、数学形态学算子及地理信息系统的分析功能等实现基于行道树的道路自动(半自动)提取和道路面积快速、自动计算。结论表明基于行道树的道路提取和面积计算方法具有一定的实用性。

The road automatic （semi-automatic） extraction is a focal studied point of the city remote sensing. Based on the current road automatic （semi-automatic） extraction technique and combining the distinct street trees in the high-resolution remotely sensed image, this paper utilizes some methods in geonomy to implement the road automatic （semi-automatic） extraction and the rapid, automatic algorithms of the road size based on the street trees, including NDVI, thresholding segmentation, the relevant operators of mathematical morphology and the analytical function of GIS. The above analysis indicates that the rapid road extraction and area algorithm based on street trees is applicable.