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大多数三维海量激光扫描数据存储方法仅局限于对海量数据的分类存储,未能有效整合数据特点,导致存储区域数据分布杂乱无章,实用性不强。基于上述原因,提出云计算环境下三维海量激光扫描数据的分布存储方法。根据三维海量激光扫描数据特点,构建三维海量激光扫描数据分布模型,并使用云计算处理模型数据。利用点云数据配准,结合ICP(iterative closest point)算法,将处理后的三维海量激光扫描数据输入到三维分布存储模型中,实现三维海量激光扫描数据的精准排列和存储。实验结果表明,所提方法的存储效率和提取效率均很高,实用性较强,并拥有非常优异的数据融合性能。
Most three-dimensional mass laser scanning data storage methods are limited to the classification of mass data storage, failed to effectively integrate the characteristics of the data, resulting in storage area data distribution chaotic, practicality is not strong. Based on the above reasons, this paper proposes a distributed storage method of 3D mass laser scanning data in cloud computing environment. According to the characteristics of three-dimensional mass laser scanning data, a three-dimensional mass laser scanning data distribution model is constructed, and the cloud data is used to process the model data. By using point cloud data registration and ICP (iterative closest point) algorithm, the processed three-dimensional mass laser scanning data is input into the three-dimensional distributed storage model, so that the precise arrangement and storage of three-dimensional mass laser scanning data can be achieved. The experimental results show that the proposed method has high storage efficiency and high extraction efficiency, good practicability and excellent data fusion performance.