| 基于点云去噪的球形标靶中心拟合研究 |
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| 引用本文： | 余腾,李明峰,胡伍生,孙小荣.基于点云去噪的球形标靶中心拟合研究[J].大地测量与地球动力学,2019,39(8):849-855. |
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| 作者姓名： | 余腾 李明峰 胡伍生 孙小荣 |
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| 作者单位： | 宿迁学院建筑工程学院,江苏省宿迁市黄河南路399号,223800;南京工业大学测绘科学与技术学院,南京市浦珠南路30号,211800;东南大学交通学院,南京市进香河路35号,210096 |
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| 基金项目： | 国家自然科学基金;国家自然科学基金;宿迁科技项目 |
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| 摘 要： | 以球形标靶作为同名特征点进行点云数据配准时，若标靶附近有干扰物或扫描的标靶点云含有大量噪声，会对点云配准质量造成很大影响。针对目前点云配准对标靶自身噪声有所忽略的问题，分析球形标靶的特点，探讨小波阈值去噪方法的适用性，并对去噪小波基函数的选取进行实验，提出球形标靶点云离散噪声小波阈值去噪方法。实验表明，标靶自身点云的去噪不可忽视。分析结果表明，该方法能够更有效地滤除球面外围粗差噪声，单个球形标靶的中心位置拟合精度提高约0.8 mm，相较标靶球未经去噪的拼接结果，扫描物特征检查点的坐标拼接误差减小约5 mm，点云总体配准精度提升约20％，是一种有效的点云数据配准预处理方法。
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| 关 键 词： | 球形标靶 三维激光扫描 点云 小波去噪 球心 |
Research on Spherical Target Center Location Based on Three-Dimensional Laser Scanning Point Cloud after De-Noising |
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| YU Teng,LI Mingfeng,HU Wusheng,SUN Xiaorong.Research on Spherical Target Center Location Based on Three-Dimensional Laser Scanning Point Cloud after De-Noising[J].Journal of Geodesy and Geodynamics,2019,39(8):849-855. |
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| Authors: | YU Teng LI Mingfeng HU Wusheng SUN Xiaorong |
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| Abstract: | When the spherical target is used as the feature point of the same name for point cloud data registration, if there is a large amount of noise in the vicinity of the target with interference or scanning target point cloud, it will have a great influence on the point cloud registration quality. In view of the current situation that the point cloud registration has neglected target self-scanning noise, the characteristics of spherical target are analyzed, the applicability of the wavelet threshold denoising method is discussed, and the method of selecting the wavelet base function is tested. A wavelet threshold denoising method of the spherical target point cloud discrete noise is proposed. Experimental results show that the denoising of the target's own point cloud cannot be neglected; the result of case analysis shows that the method can filter the rough noise near the sphere more effectively, the fitting accuracy of the center position of a single spherical target is increased by about 0.8 mm, as compared with the point cloud stitching result of the spherical target without denoising. The co-ordinate stitching distance error of the scan feature check point is reduced by about 5 mm, and the registration accuracy of the point cloud is increased by about 20%. It is an efficient preprocessing method for point cloud registration data, and can provide reference for the application of related engineering. |
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| Keywords: | spherical target three-dimensional laser scanning point cloud wavelet de-noising sphere centre |
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