| 改进的分层点云数据压缩算法 |
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| 引用本文： | 郑俊良,张艳超,姚顽强.改进的分层点云数据压缩算法[J].测绘科学,2017,42(9). |
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| 作者姓名： | 郑俊良 张艳超 姚顽强 |
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| 作者单位： | 1. 西安科技大学测绘科学与技术学院,西安,710054;2. 陕西天润科技股份有限公司,西安,710054 |
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| 摘 要： | 针对传统点云压缩算法主要对小型物件的小数据量精细点云进行压缩,在大型地物的海量数据压缩方面存在压缩时间长、效率低的不足,提出了一种改进的分层点云数据压缩算法。基于大型地物点云空间结构特点将分层压缩算法的速度优势和距离压缩算法的高效优势相结合,解决了传统压缩算法在大型地物点云压缩方面的不足,实现了海量点云的快速高效压缩。西安市大雁塔三维激光点云压缩实验结果表明:该算法可以快速地完成海量点云的压缩,较之传统压缩算法极大地缩短了压缩时间,提高压缩效率。
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| 关 键 词： | 三维激光扫描 点云 分层点云 点与点距离 数据压缩 |
The improved hierarchical point cloud data compression algorithm |
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| ZHENG Junliang,ZHANG Yanchao,YAO Wanqiang.The improved hierarchical point cloud data compression algorithm[J].Science of Surveying and Mapping,2017,42(9). |
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| Authors: | ZHENG Junliang ZHANG Yanchao YAO Wanqiang |
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| Abstract: | The point cloud data of large scale 3D scanning have the characteristics of large amount of data,the data has the characteristics of large amount of data.The traditional point cloud compression algorithm mainly aims at the small amount of data of small objects,which has some shortcomings in the massive data compression of large objects.This algorithm combines the speed advantage of the layered compression algorithm and the high efficiency of the distance compression algorithm based on the characteristics of the spatial structure of the large object point cloud,solves the problem of the traditional compression algorithm in the point cloud compression,and realizes the fast and efficient compression of massive point cloud.Xi'an city pagoda 3D laser point cloud compression experiment results show:The algorithm can quickly complete the massive point cloud data compression,compared with the traditional compression algorithm greatly reduces the compression time,improve the compression efficiency. |
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| Keywords: | 3D laser scanning point cloud hierarchical point cloud point and point distance data compression |
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