福建农林大学学报（自然科学版）2025，Vol.54Issue(3)：410-419,10.DOI:10.13323/j.cnki.j.fafu(nat.sci.).202407025
无人机航拍参数对林木冠层三维点云重构的影响
Impact of drone aerial photography parameters on 3D point cloud reconstruction of tree canopy
摘要
Abstract
[Objective]This study explored the impact of 3 aerial photography parameters(flight height,forward overlap and side o-verlap)on the three-dimensional(3D)point cloud reconstruction of forest canopy and the precision of structural parameter estima-tion,aiming to provide a reference for enhancing the application capability of drone-based image point cloud(DIPC)in canopy structure monitoring.[Method]With Osmanthus forest as the research subject,its DIPC data were collected at different flight heights(40,80,120 and 160 m),forward overlaps(70％,80％and 90％)and side overlaps(70％,80％and 90％).Ground-based Li-DAR data was used to evaluate the reconstruction precision(according to the elevation variation coefficient of point cloud)and esti-mation precision of canopy structural parameters(canopy volume,vertical projection area of canopy,canopy width,canopy length and tree height)based on DIPC under different flight parameters.[Result]The variation coefficient of DIPC-based elevation de-clined dramatically with flight height between 80 and 160 m,and the estimation precision of canopy structural parameters based on DIPC was high and trended to stabilize at flight height of 40-120 m,but decreased rapidly at 120-160 m.The variation coefficient of DIPC-based elevation trended to increase with forward overlap or side overlap.The estimation precision of canopy structural pa-rameters based on DIPC increased significantly with forward overlap(70％-80％)or side overlap(70％-80％),and was stabilized when forward overlap or side overlap arrived at 80％-90％.[Conclusion]The increase of forward overlap and side overlap from 70％to 80％exerted the most significant effects on lifting the estimation precision of canopy structure parameter,with greater impacts from forward overlap;however,raising flight height from 120 m to 160 m significantly lowered the estimation precision of canopy structure parameters.关键词
林木冠层/三维结构/无人机遥感/点云数据/飞行高度/图像重叠度Key words
tree canopy/3D structure/unmanned aerial vehicle remote sensing/point cloud data/flight height/image overlap分类
农业科技引用本文复制引用
魏倪彬,余坤勇,刘健..无人机航拍参数对林木冠层三维点云重构的影响[J].福建农林大学学报（自然科学版）,2025,54(3):410-419,10.基金项目
"十四五"国家重点研发计划课题(2023YFD2201205) （2023YFD2201205）
国家自然科学基金面上项目(32271876). （32271876）
