基于地空雷达数据的人工池杉林单木信息提取
Single Tree Information Extraction of Artificial Chinese Fir Forest Based on Ground Air Radar Data
周细斌 1李秀梅 1杨繁 1唐志强 1谢经荣 2周鸣惊1
作者信息
- 1. 湖北生态工程职业技术学院 武汉 430200
- 2. 湖北省太子山林场管理局 荆门 431800
- 折叠
摘要
随着绿色经济和生态文明发展的不断推进,森林林分结构信息的数字化、精细化管理也越来越重要,通过激光雷达来快速获取单木信息数据,也成为一种高效便捷的手段.但由于单独使用激光雷达在探测森林时会出现盲区无法形成完整的森林树木三维点云,为此本研究用使用无人机机载雷达与地基雷达融合进行调查,所探测的数据经处理后,即可获得高精度的点云模型与单木信息表.结果表明,池杉样地的单木定位识别精度为94％,每木平均树高相差0.16 m,平均胸径相差0.23 cm,树高、胸径R2分别为0.988 1、0.974 6,均方根误差分别为0.266 3 cm、0.613 6 m.机载激光雷达与地基激光雷达合并点云对于人工池杉林资源调查与监测具有重要的实际意义,同时为林分信息快速提取的研究与应用提供了有力的技术支撑.
Abstract
With the continuous advancement of green economy and ecological civilization,the digitization and fine man-agement of forest stand structure information are becoming more and more important.However,due to the blind spots that occur when using lidar alone to detect forests,it is impossible to form a complete three-dimensional point cloud of for-est trees,so this studyused the fusion of UAV airborne radar and ground-based radarfor investigation,and the detected da-ta can be processed to obtain a high-precision point cloud model and a individual tree information table.The results showed that the accuracy of individual tree positioning and recognition was 94％,the average tree height difference was 0.16 m,the average DBH difference was 0.23 cm,the tree height and DBH R2 were 0.988 1 and 0.974 6,and the root mean square error was 0.266 3 cm and 0.613 6 m,respectively.The combined point cloud of airborne lidar and ground-based li-darhas great practical significance for the investigation and monitoring of artificial pond fir forest resources,and provides strong technical support for the research and application of rapid extraction of stand information.
关键词
无人机Lidar/地基Lidar/点云融合/单木信息提取Key words
UAV Lidar/ground-based Lidar/point cloud fusion/Single wood information extraction引用本文复制引用
出版年
2024
NETL
NSTL
万方数据