Airborne light detection and ranging is an emerging and attractive technology in the field of remote sensing that is capable of rapidly capturing three dimensional geo-spatial information in multi-scales, which presents a new technology for obtaining short time resolution and high special resolution data. The research for applying airborne LIDAR technology to data collection and real-time updates of the existing road network will reduce highway construction cycle and also promote the progress of information management. Firstly, this paper analyzed the principle and shortcomings of existing filtering and classification algorithm. Then, it introduced a method to extract road information from original LIDAR data points with the combination of mathematical morphology and the priori knowledge of road. At last, the effectiveness of the method was evaluated through experiments.%机载激光扫描(LIDAR)技术在多等级三维地球空间信息的实时获取方面实现了重大突破,为获取高时空分辨率的地球空间信息提供了一种全新的技术手段.研究将机载LIDAR技术应用于对既有道路网基础信息数据的采集和实时更新,不仅能缩短公路建设项目周期,也能促进公路管理信息化的进步.文中分析了现有机载LIDAR数据滤波和分类算法的原理和不足,结合数学形态学和对道路的先验知识提出一种直接从原始点集中提取道路信息的方法,并通过实验对方法的效果进行了评价.
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