基于激光雷达数据的树高自动化提取研究

A Study on Automatic Extraction of Tree Height based on Airborne Lidar Data

树高是林业资源调查中的重要参数之一,传统的树高参数提取复杂、自动化程度低。因此,提出基于激光雷达数据,结合ArcGIS engine平台,实现树高的自动化提取。通过对外业采集的林木激光雷达点云数据进行预处理、点云滤波分类操作,得到精细化处理后的数字高程模型,然后基于ArcGIS engine平台,设计树高自动化提取程序,通过导入滤波后的高精度数字高程模型和数字表面模型,自动计算出树高模型,并结合实测树高数据,在程序平台上进行对比分析。结果表明,本方法提取的树高值与实测值之间残差小、决定系数大、相关性强。

Tree height is one of the important parameters in forestry resource survey.The traditional extraction of tree height parameters is complicated and has low automation degree.Therefore,based on Lidar data and ArcGIS engine platform,automatic extraction of tree height is proposed.After pre-processing and point cloud filtering of forest Lidar point cloud data collected by field work,a refined digital elevation model is obtained.Then,based on ArcGIS engine platform,an automatic tree height extraction program is designed automatically calculate the tree height model by importing the filtered high-precision digital elevation model andto digital surface model.Combined with the measured tree height data,a comparative analysis is made on the program platform.The results show that the residual difference between the extracted tree height value and the measured value is small,the determination coefficient is large,and the correlation is strong.