江西科学2025，Vol.43Issue(2)：356-362,7.DOI:10.13990/j.issn1001-3679.2025.02.020
LiDAR点云辅助的无人机影像快速高质正射纠正方法
A Rapid and High-quality Orthorectification Method of UAV Image Assisted by LiDAR Point Cloud
摘要
Abstract
To address the issue of low efficiency in traditional UAV orthophoto generation methods based on dense matching for DSM(Digital Surface Model)generation,which ensures high accuracy but is time-consuming,a LiDAR point cloud-assisted UAV image correction method was proposed.First,3D feature points from the images and corresponding points from the LiDAR point cloud were used as control constraints.Then,the LiDAR point cloud data were filtered to obtain a high-precision DEM(Digital Elevation Model).Finally,the DEM was used to orthorectify the images.Comparative experiments were conducted in three different scenarios,using the proposed algorithm,commercial software Pix4D,and an orthophoto generation method based on sparse point clouds from aerial triangulation.The results indicate that the orthophotos generated by the proposed algorithm exhibit slight better detail representation than the other two methods.Additionally,the proposed algorithm improves efficiency by an order of magnitude compared to Pix4D while achieving comparable geometric accuracy,with a mean planar error ranging from 0.023 to 0.029 meters and the root mean square error(RMSE)of 0.024 to 0.031 meters.Therefore,the LiDAR point cloud-assisted UAV image correction method can quickly generate high-precision digital orthophotos.关键词
数据融合/机载激光扫描/LiDAR点云/POS数据/正射纠正/稀疏点云Key words
data fusion/LiDAR/LiDAR point cloud/POS data/orthorectification/sparse point cloud分类
信息技术与安全科学引用本文复制引用
吴宇峰,李大军,刘华,黄婷婷,李博宇..LiDAR点云辅助的无人机影像快速高质正射纠正方法[J].江西科学,2025,43(2):356-362,7.基金项目
江西省科技重点研究计划项目(20223BBE51030). （20223BBE51030）
