大地测量与地球动力学2025，Vol.45Issue(8)：813-817,5.DOI:10.14075/j.jgg.2024.10.462
多尺度超体素生长的点云平面分割算法
Point Cloud Plane Segmentation Algorithm for Multi-Scale Supervoxel Growth
摘要
Abstract
In order to simultaneously improve the efficiency and reliability of point cloud plane segmentation,based on the multi-scale supervoxel and region growing algorithm,supervoxels are used as the growing units,and the voxel region growing algorithm is used to achieve fine point cloud plane segmentation.The results show that the proposed method has good segmentation effect on both indoor and outdoor point cloud data,which is superior to RANSAC,Khaloo and global energy optimization methods.Moreover,the Precision,Recall and F1-score of the method in this paper are all higher than 0.90.关键词
超体素/区域生长/分割/多尺度/平面点云Key words
hypervoxel/regional growth/segmentation/multi-scale/plane point cloud分类
天文与地球科学引用本文复制引用
聂道许,毛娟娟,花向红,陈西江..多尺度超体素生长的点云平面分割算法[J].大地测量与地球动力学,2025,45(8):813-817,5.基金项目
国家自然科学基金(42171428,62377037) （42171428,62377037）
湖北省自然科学基金(2023AFB950). National Natural Science Foundation of China,No.42171428,62377037 （2023AFB950）
Natural Science Foundation of Hubei Prov-ince,No.2023AFB950. （）
