海量机载激光点云数据分布式分片存储方法研究

Research on the Distributed Fragmentation Storage Method of Massive Airborne Laser Point Cloud Data

机载采集的红外激光云数据,作为重要的遥感大数据,其存储方法决定后期的应用方向。由于海量化机载激光点云数据存储对高效率的要求越来越高,提出了一种海量机载激光点云数据分布式分片存储方法。对激光点云信息特征的加权模糊C均值化,去除激光点云数据的噪声干扰。依据Sharding分片功能,设计云数据库的数据分片算法。设计改进哈希数据分布算法,完成最终的海量机载激光点云数据分布式存储。实验结果表明:所提方法的激光点云数据存储能力更高,效率更好,实际应用效果更好。

The storage method of airborne infrared laser cloud data,which are important remote sensing big data determines the later ap-plication direction.Massive airborne laser point cloud data storage requires higher and higher efficiency.A distributed slice storage method for massive airborne laser point cloud data is proposed.The weighted fuzzy C-means of sharding cluster is used to remove the noise interference of laser point cloud data.According to sharding function,data sharding of cloud database is completed.The Hash data distribution algorithm is designed and improved to complete the final distributed storage of massive airborne laser point cloud data.The experimental results show that the laser point cloud data storage capacity of the proposed method is higher,the efficiency is better,and the practical application effect is also better.