| 机载激光雷达数据简化算法的研究 |
| |
| 引用本文： | 刘庆元,赵福生,胡静波.机载激光雷达数据简化算法的研究[J].测绘科学,2010,35(2):90-92. |
| |
| 作者姓名： | 刘庆元 赵福生 胡静波 |
| |
| 作者单位： | 中南大学信息物理工程学院,长沙,410083;国家广电局,北京,102434 |
| |
| 摘 要： | 机载LIDAR数据量庞大,其中包含了大量的冗余信息,这些信息占用了大量的存储空间,给LIDAR数据的应用和传输带来不便。本文针对此,提出了距离—梯度简化算法,试验结果表明,该算法能很好控制点云的简化程度,最大限度地删除点云中的冗余信息,自适应地保留地形特征信息,从而为点云的可视化、网络传输及其应用提供参考。
|
| 关 键 词： | 机载雷达 点云 简化 算法 |
The research on algorithm of simplification In airborne LIDAR data |
| |
| LIU Qing-yuan,ZHAO Fu-sheng,HU Jing-bo.The research on algorithm of simplification In airborne LIDAR data[J].Science of Surveying and Mapping,2010,35(2):90-92. |
| |
| Authors: | LIU Qing-yuan ZHAO Fu-sheng HU Jing-bo |
| |
| Abstract: | Airborne LIDAR data is very large,which contains an amount of redundant information.The information not only takes up a lot of storage space but also brings much inconvenience to the LIDAR data transmission and application.Therefore,the authors provided an algorithm--distance-gradient simplification in this paper.The experiment's results showed that the algorithm could control the simplification degree of point cloud,delete the maximum redundant information,and be adaptive to retain topographical features information.It would be the basis of the visualization,web transmission and application of point cloud data. |
| |
| Keywords: | LIDAR point cloud simplification algorithm |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
