基于红黑树与K-D树的LiDAR数据组织管理
收稿日期: 2016-08-20
网络出版日期: 2016-11-08
基金资助
云南省水利厅水资源费项目(41501558);云南省水利重大科技项目(CKSK2015852/KJ)
Data Organization and Management of LiDAR Based onRed-black Tree and K-D Tree
Received date: 2016-08-20
Online published: 2016-11-08
吴波涛 , 张 煜 , 陈文龙 , 沈定涛 , 魏思奇 . 基于红黑树与K-D树的LiDAR数据组织管理[J]. 长江科学院院报, 2016 , 33(11) : 32 -35 . DOI: 10.11988/ckyyb.20160854
LiDAR point cloud is a 3D point set composed of massive discrete laser dots which exist in both plane and vertical directions. Because of lacking space topological relations among the discrete dots of LiDAR point cloud, it is important to establish an appropriate data structure for LiDAR point cloud as the foundation of LiDAR processing. According to the structural characteristics of LiDAR point cloud data, a two-level data structure with “non-null” regular cube grid and K-D tree is established for the organization and management LiDAR point cloud using red-black tree and K-D tree to build. The structure could reduce the structural redundancy and improve indexing efficiency.
Key words： LiDAR; red-black tree; K-D tree; data structure; data organization; regular cube grid
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