激光扫描点云数据库的存储系统设计

Storage System Design of Laser Scanning Point Cloud Database

激光扫描点云数据存储是目前地理信息系统和测量系统的一个重要研究方向,点云数据存储系统的效率影响着点云数据处理分析能力,从而影响地理信息的获得,以及对测量等方面工作造成影响。传统的激光扫描点云数据库存储系统,一直存在存储内存空间大,存储效率却很低的问题。提出基于OTSU多阈值分割的激光扫描点云数据存储系统设计方法,首先分析点云数据查询系统结构,了解用户需求,完成系统运行平台的选择及系统安全性的分析,从而完成点云数据存储和管理框图,然后利用OTSU多阈值分割方法对数据库数据进行分析,提高激光扫描点云数据存储系统查询结果的准确性,通过仿真实验证明,所提方法能够有效提高激光扫描点云数据存储系统效率且占用的内存较其他方法小,具有较高的实用价值。

laser scanning point cloud data storage is an important research direction of geographic information system and measurement system at present,the efficiency of point cloud data storage system affects the ability of point cloud data processing,thus affecting the access of geographic information,as well as the measurement and other aspects of the work made into effect. The traditional laser scanning point cloud database storage system has a large storage space and low storage efficiency. Puts forward the design method of laser scanning point cloud data storage system OTSU based on multi threshold segmentation,the first analysis of the point cloud data query system structure,understanding of user needs,to complete the analysis and choice of system security system operation platform,thus completing the point cloud data storage and management diagram,and then use OTSU multi threshold segmentation method to analyze the database to improve the accuracy of the data,the query results of laser scanning point cloud data storage system,simulation results show that the proposed method can effectively improve the laser scanning point cloud data storage system efficiency and accounts for the use of memory than other methods,it has high practical value.