遥感影像提取改扩建道路的DLG辅助算法

随着城市化进程的加快,作为城市脉络的道路网的更新要求越来越高。基于人工测图的传统更新方式速度慢、效率低,难以满足数据更新的需求。利用数字线划地图(Digital Line Graphic,DLG)数据作为先验信息,采用基于特征的方法,从高分辨率遥感影像中提取道路,实现道路的自动更新。算法适用于DLG中以双边缘平行线对表示的城市主要道路。实验结果表明,该方法在道路拓宽、延伸等情况均有良好的效果。

A DLG Aided Algorithm for Extraction of Road Extension and Expansion from Remote Sensing Images

With the acceleration of urbanization,the requirement for the update of the road network as urban artery become higher and higher.The method of traditional update way based on artificial mapping is slow,inefficient and hard to meet the needs for the demand of data update.By using DLG data as previous proved information and using the way based on characteristic,roads are extracted from remote sensing image of high resolution and updated automatically.The algorithm is appropriate for city main roads marked by parallel pairs with double side in DLG.The experimental results show that this method has good effect on both extended and expanded road.