高植被覆盖复杂山区机载激光LiDAR点云分类与处理
Classification and Processing of Airborne Laser LiDAR Point Clouds in Complex Mountainous Areas with High Vegetation Cover

机载激光雷达拥有一定程度的植被穿透能力，可从植被覆盖的复杂区域获取植被与山体地貌等多种数据，并根据不同地物的特性进行数据分类、处理，以获得测绘或实验用数据。该文以重庆市奉节县区域内所获取的点云数据为例，先对原始点云数据进行预处理，使用渐进加密三角网滤波算法进行地面点分类，最后生成数字高程模型(DEM)。实验表明，现有的机载LiDAR技术已经基本满足在高植被覆盖山区等复杂地形的使用，为以后的工程和测量提供了新的思路。
Airborne LiDAR has a certain degree of vegetation penetration capability. A variety of data such as vegetation, mountain and landform can be obtained from the complex areas covered by vegetation, and data classification and processing can be carried out according to the characteristics of different ground objects to obtain surveying and mapping or experimental data. Based on the point cloud data obtained in Fengjie county, Chongqing Municipality, point cloud data are preprocessed; this paper classifies the ground points using the progressive encryption triangulation network filtering algorithm, and finally generates a fine digital elevation model. Experiments show that the existing airborne LiDAR technology has been basically satisfied in the use of complex terrain such as high vegetation covered mountains, providing a new idea for future engineering and measurement.