Location Extraction of Single Tree in Forest Based on Laser Point Cloud Data

doi:10.13466/j.cnki.lyzygl.2023.01.016

Abstract

Abstract:

This paper took the larch forest land of Saihanba Forest Farm in Hebei Province as the research object.Through setting cement piles and reflective sheets in the selected sampling sites,aiming at the low precision of forest single tree extraction,this paper conducted the research on the method of extracting the location of forest single tree based on laser point cloud data,which provided a reference for the location and quantity statistics of single tree in forest resource survey.Through the registration of the collected forest ground point cloud data with the cloud data of each survey site using the reflector model,an improved voxel space neighborhood and RANSAC cylinder fitting method was proposed to extract the single tree position from three different size sample plots.The results showed that the single tree position extraction effect of this method was good,and the extraction accuracy was more than 93%.

Key words: laser point cloud, single tree position extraction, RANSAC cylinder fitting, larch

CLC Number:

TP75

CAO Qingan, ZUO Yong, HE Yuanrong, LENG Peng. Location Extraction of Single Tree in Forest Based on Laser Point Cloud Data[J]. FOREST RESOURCES WANAGEMENT, 2023, (1): 133-140.

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样方大小	实际单木数量/ 株	实验识别数量/ 株	识别率/ %
10m×10m	18	18	100.0
25m×25m	36	38	94.4

分块	实测数量/株	估计数量/株	精度/%
1	125	131	95.2
2	110	117	93.6
3	130	136	95.4
4	108	115	93.5
总	473	499	94.5