| 基于曲率特征的点云去噪及定量评价方法研究 |
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| 引用本文： | 朱广堂,叶珉吕.基于曲率特征的点云去噪及定量评价方法研究[J].测绘通报,2019,0(6):105-108. |
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| 作者姓名： | 朱广堂 叶珉吕 |
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| 作者单位： | 佛山市测绘地理信息研究院,广东 佛山,528000;佛山市测绘地理信息研究院,广东 佛山,528000 |
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| 摘 要： | 由于仪器测距、测角误差，物体反射率，人为操作，遮挡及环境变化等原因，扫描获取的点云数据中存在大量的噪声点。为了高效去除噪声并保持原始点云数据的特征信息，本文提出了基于移动最小二乘曲率特征的点云去噪算法。首先采用移动最小二乘法（MLS）精确计算点云的曲率信息，然后根据曲率信息进行点云去噪，最后利用基于信息熵理论的定量评价方法验证本文方法的可行性。
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| 关 键 词： | 曲率特征 移动最小二乘 点云去噪 信息熵 |
| 收稿时间： | 2018-11-09 |
| 修稿时间： | 2019-04-23 |
Research on the method of point cloud denoising based on curvature characteristics and quantitative evaluation |
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| ZHU Guangtang,YE Minl&#.Research on the method of point cloud denoising based on curvature characteristics and quantitative evaluation[J].Bulletin of Surveying and Mapping,2019,0(6):105-108. |
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| Authors: | ZHU Guangtang YE Minl&# |
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| Institution: | Foshan Surveying, Mapping and Geoinformation Research Institute, Foshan 528000, China |
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| Abstract: | Due to the errors of instrument ranging, angle measurement, reflectivity of objects, artificial operation, occlusion and environmental changes, there are a lot of noise in the point cloud data. In order to remove noise efficiently and keep the feature information of original point cloud data, the thesis proposes a new method of point cloud denoising based on moving least square curvature feature. Firstly, the curvature information of point cloud is accurately calculated by moving least squares method, and then the point cloud is denoised according to the curvature information. Finally, the feasibility of this method is verified by the quantitative evaluation method based on information entropy theory. |
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| Keywords: | curvature characteristics moving least squaves point cloud denoising information entropy |
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