高密度机载LiDAR数据中确定树冠覆盖方法  

Tree canopy coverage delineating method for high density airborne Lidar data

作　　者：刘立坤[1] 

机构地区：[1]武汉大学测绘遥感信息工程国家重点实验室,湖北武汉430079

出　　处：《辽宁工程技术大学学报（自然科学版）》2015年第4期464-467,共4页Journal of Liaoning Technical University (Natural Science)

基　　金：国家重点基础研究发展计划(973计划)基金项目(2010CB731800);国家自然科学基金项目(61172174)

摘　　要：针对混交林植被参数提取相对纯林植被参数提取传统方法的局限性,提出一种从单棵树木的三维形状特征出发来确定树冠覆盖轮廓的方法.提出单棵树冠三维形状的模型假设,利用模型生成模拟点云数据进行试验,模拟结果直观展示出所提出方法的有效性;使用机载扫描的高密度混交林Li DAR点云数据进行实验.研究结果表明:该方法能对树冠覆盖范围有较准确的确定,为今后精细化的森林测绘和环境评估提供了技术上的参考.For dense mixed forests which are more structurally complex than that of pure forests in extracting forest parameters, traditional methods for extracting tree properties in mixed forests have obvious limitations. This paper developed a method for individual tree 3-D shape modeling and canopy coverage delineation. A basic 3-D canopy shape model was firstly introduced as fundamental assumptions to generate simulated point cloud, and then a prototype test was carried out with the simulated forest point data which visually reveals an effective result. After that, a high density mixed forest Li DAR dataset was being put into experiment. Based on the same method, its output and a statistical analysis demonstrates that the proposed method can yield an effective tree canopy coverage delineation which can contribute to provide technical reference for sophisticated forest surveying and environmental assessment.

关 键 词：单棵树木 机载Li DAR 树木覆盖 轮廓确定 三维形状 点云处理 森林测量 混交林 

分 类 号：TP751.1[自动化与计算机技术—检测技术与自动化装置]