摘要
针对原有树木倒伏隐患分析方法存在参数估计性能较差的问题,提出一种基于机载激光雷达的树木倒伏隐患分析方法。确定树木倒伏处的地理位置,利用机载激光雷达实施树木倒伏施测,选取的机载激光雷达系统为小脚印Mapper Lite 6500系统,获取树木倒伏雷达点云数据,包括定位点、树木倒伏实测以及雷达飞行数据。获取的树木倒伏雷达点云数据共分为七个数据激光文件,对其进行数据处理以便实施树木倒伏隐患分析,包括重采样处理与滤波处理。利用处理后的树木倒伏数据,构建树木倒伏隐患分析模型,构建的树木倒伏隐患分析模型主要通过对倒伏树干强度进行评估,判断倒伏后树木树干的具体结构强度可否再次承受其他冲击荷载,以及获取其边材腐朽情况来实现树木倒伏的隐患分析。为了证明该分析方法的参数估计性能较强,将传统方法与该方法进行对比实验,实验结果证明该方法的参数估计性能优于传统方法。
In view of the poor performance of parameter estimation in the original tree lodging hidden danger analysis method,a tree lodging hidden danger analysis method based on airborne lidar is proposed.Determine the geographical location of the tree lodging place,and use the airborne lidar to carry out the tree lodging measurement.The selected airborne lidar system is the small footprint mapper Lite 6500 system.Obtain the point cloud data of the tree lodging radar,including the positioning point,the tree lodging measurement and the radar flight data.The acquired point cloud data of tree lodging radar is divided into seven data laser files,which are processed to analyze the hidden danger of tree lodging,including resampling and filtering.Using the data of tree lodging after processing,the hidden danger analysis model of tree lodging is constructed.The hidden danger analysis model of tree lodging is mainly based on the evaluation of the strength of the fallen tree trunk,to judge whether the specific structural strength of the tree trunk can bear other impact load again,and to obtain the decay of sapwood to realize the hidden danger analysis of tree lodging.In order to prove the strong performance of the method,the traditional method is compared with the method.The experimental results show that the performance of the method is better than the traditional method.
作者
崔健
CUI Jian(Guiyang Bureau of China Southern Power Grid Co.,Ltd.,Guiyang 550000)
出处
《环境技术》
2020年第6期191-195,共5页
Environmental Technology
