基于机载激光雷达的城市空间信息提取的研究

摘要

机载激光雷达能够快速采集大范围区域表面高精度、高密度的三维点云数据，被广泛用于城市空间信息获取。但是，相较于日益成熟的硬件系统，它在数据的高效、自动化处理方面存在缺陷，成为当前国内外的研究难点和热点。地形、建筑物和道路作为城市区域主要地理要素，空间信息提取方法一直以来是研究重点。对此，分析了目前常用的基于机载激光雷达这三类地理要素提取方法特点，自动化处理难点以及未来需要进一步研究的主要问题。%Airborne LIDAR can rapidly collect three-dimensional point clouds of high precision and density for large areas, which is widely used in urban spatial information acquisition.Compared with the mature of hardware system,the efficient and automated processing of data is still facing huge challenges,which has become the difficult and hot spot of research.Terrain, buildings and roads are the main urban geographical elements,whose spatial information extraction methods have been the long-term research focus.Reviews the existing extraction methods of urban geographical elements from LIDAR data,analyzes the difficulties of automated processing of data,and the main problems which need further research in the future.