为了减少大场景点云文件无损压缩时间,避免数据处理过程中人工操作造成的时间浪费和输入失误,本文引入LASzip点云无损压缩算法和OpenMP并行编程技术,提出了在单机多核CPU系统环境下基于LASzip的大场景点云文件多核并行批量压缩算法.实验结果显示,与串行算法相比,并行算法在压缩比不变的情况下压缩时间明显下降,取得了很好的加速比.当线程数为8时,压缩和解压缩加速比分别达到4.27和3.99,优化效果显著.%In order to reduce the lossless compression time of the point cloud data files in large scene,avoid the time consuming and inputting errors caused by manual operation during data pro-cessing,this paper introduces LASzip lossless compression algorithm and the technology of OpenMP-based parallel computation,proposes a multi-core parallel batch compression algorithm for point cloud data files in large scene based on LASzip algorithm within the environment of the single machine of multi-core CPU.The experimental results show that compared with original se-rial algorithm,the parallel algorithm decreases obviously the compression time when the com-pression ratio is constant,achieving good speedup.The proposed optimization algorithm's com-pression and decompression time acceleration ratios reach 4.27 and 3.99,respectively,when 8 threads are used,the optimization effects are remarkable.
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