摘要
为解决林分高度难以直接测量,避免受到环境因素的影响,研究人员从三维点云数据来获取林分高度。该文提出一种车载双激光雷达系统,双雷达分别完成林分数据扫描和地图构建的工作,在点云数据处理中,使用递进式点云滤波方法,选取适合林分点云数据的处理条件,对林分点云数据进行还原,使得到的林分点云数据更好地进行配准、特征提取和可视化,并测量林分高度。实验结果与现场实测数据进行比较表明,该文提出的方法对林分高度测量误差为0.072~0.316 m,平均相对误差为1.46%,具有精度高、受人为操作影响小、数据获取效率高等优势,且测量仪器轻便、成本低,适用于野外调查。该方法能够用于提高林业研究中林分结构参数的测量精度和效率。
In order to solve the difficulty of directly measuring the stand height and avoid being affected by environmental factors,forest researchers obtained the stand height from 3 D point cloud data.In this paper,a vehicle-mounted dual lidar system was proposed.The dual lidars completed the work of forest stand data scanning and map construction,respectively.In the point cloud data processing,the progressive point cloud filtering method was used to select the processing suitable for the forest stand point cloud data.Restore the stand point cloud data,so that the obtained stand point cloud data can be better registered,feature extraction and visualization,and the stand height can be measured.The comparison between the experimental results and the field measured data showed that the method proposed in this paper had a measurement error of 0.072-0.316 m for stand height,and the average relative error was 1.46%.Moreover,the measuring instrument was light and low in cost,and was suitable for field investigation.This method can be used to improve the measurement accuracy and efficiency of stand structure parameters in forestry research.
作者
宋佳音
赵越
宋文龙
周宏威
马强
尹天瑞
池志祥
张晓鹏
SONG Jiayin;ZHAO Yue;SONG Wenlong;ZHOU Hongwei;MA Qiang;YIN Tianrui;CHI Zhixiang;ZHANG Xiaopeng(College of Mechanical and Electrical Engineering,Northeast Forestry University,Harbin 150040,China;Comba Telecom Systems Limited,Guangzhou 510000,China)
出处
《森林工程》
北大核心
2022年第2期80-86,共7页
Forest Engineering
基金
中央高校基本科研专项资金(2572017CB13)
黑龙江省自然科学基金项目(YQ2020C018)。
关键词
激光雷达
森林遥感
林分高度
点云处理
融合滤波
LiDAR
forest remote sensing
stand height
point cloud processing
fusion filtering
