北京测绘

针对架站式扫描易受树干树叶遮挡、地形起伏等因素限制，且点云采集与后处理耗时较长的问题，本文提出一种基于移动三维激光扫描技术的林木胸径提取方法。该方法采用移动三维激光扫描进行数据采集，可最大限度克服林地复杂环境，减少遮挡影响，在保障数据完整性的同时高效获取林地三维空间数据；研究了点云高程归一化、滤波、聚类及圆柱拟合等林木胸径提取流程与关键算法，并开发了胸径提取统计软件，实现林木胸径信息的快速提取与自动化统计，显著提升作业效率。通过与传统林木胸径量测手段的对比实验，结果表明该方法可行且可靠，能够有效满足林地调查需求，可为大范围林木调查工作提供技术支撑与参考。

Aiming at the problems that station-based scanning is easily limited by trunk and leaf occlusion， terrain undulation， and requires long time for point cloud collection and post-processing， this paper proposes a method for tree diameter at breast height (DBH) extraction based on mobile 3D laser scanning technology. This method adopts mobile 3D laser scanning for data collection， which can maximally overcome the complex forest environment， reduce the impact of various occlusions， ensure data integrity， and efficiently acquire 3D spatial data of forest land. The process and key algorithms of tree DBH extraction， including point cloud elevation normalization， filtering， clustering and cylinder fitting， are studied， and a DBH extraction and statistics software is developed to realize rapid extraction and automatic statistics of tree DBH information， significantly improving operation efficiency. Comparative experiments with traditional tree DBH measurement methods show that the proposed method is feasible and reliable， can effectively meet the needs of forest land investigation， and provide technical support and reference for large-scale forest investigation.