| 一种顾及水下地形特点的多波束点云去噪算法 |
| |
| 引用本文： | 冯东恒,石波,卢秀山,李国玉.一种顾及水下地形特点的多波束点云去噪算法[J].测绘科学技术学报,2017,34(4). |
| |
| 作者姓名： | 冯东恒 石波 卢秀山 李国玉 |
| |
| 作者单位： | 1. 山东科技大学 测绘科学与工程学院,山东 青岛,266590;2. 山东科技大学 测绘科学与工程学院,山东 青岛 266590;海岛(礁)测绘技术国家测绘地理信息局重点实验室,山东 青岛 266590;3. 山东科技大学 海洋工程研究院,山东 青岛,266590;4. 青岛秀山移动测量有限公司,山东 青岛,266590 |
| |
| 基金项目： | 海岛(礁)测绘技术国家测绘地理信息局重点实验室资助项目 |
| |
| 摘 要： | 针对包含大量噪声的多波束点云去噪问题,顾及水下地形特点设计算法去除近地表噪声和明显离群噪声。算法基于RANSAC算法思想拟合局部平面,结合统计分析方法去除给定阈值范围之外的噪声;结合共面法矢量特征预判去除离群面并探测保留陡坡等高程梯度变化明显的敏感地形。通过减少点云数据检索次数、使用哈希表等方式优化算法,提高执行效率。能够保证地形一致性的同时较好地保留区域边界等信息。最后,设计实验对多波束点云去噪结果达到预期,并对实验结果进行探讨提出后续研究方向。
|
| 关 键 词： | 多波束点云 地形去噪 RANSAC算法 统计分析 特征检测 |
A Multi-Beam Point Cloud Denoising Algorithm Considering Underwater Topographic Features |
| |
| FENG Dongheng,SHI Bo,LU Xiushan,LI Guoyu.A Multi-Beam Point Cloud Denoising Algorithm Considering Underwater Topographic Features[J].Journal of Zhengzhou Institute of Surveying and Mapping,2017,34(4). |
| |
| Authors: | FENG Dongheng SHI Bo LU Xiushan LI Guoyu |
| |
| Abstract: | Aiming at the problem of multi-beam point cloud denoising with large amount of noise, the designed al-gorithm of underwater terrain is used to remove near-surface noise and obvious outlier noise. The algorithm is based on the RANSAC algorithm to fit the local plane, and the statistical analysis method is used to remove the noise out-side the given threshold. The coplanar vector feature is used to remove the outliers and detect the sensitive terrain with obvious gradient. By reducing the number of point cloud data retrieval, using a hash table to optimize the algo-rithm to improve the efficiency of the implementation, the terrain consistency can be guaranteed at the same time the regional boundaries and other information can be better retained. Finally, the designed experiment is used to denoise the multi-beam point cloud, and the result is expected. The experimental results are discussed and the re-search direction is put forward. |
| |
| Keywords: | multi-beam point cloud terrain denoising RANSAC algorithm statistical analysis feature detection |
| 本文献已被 CNKI 万方数据 等数据库收录！ |
|
