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| 一种基于切片的采空区点云数据精简方法 |
| A Method for Point Cloudy Data Thinning of Goaf Based on Slicing |
| 投稿时间：2014-01-28 修订日期：2014-11-25 |
| DOI： |
| 中文关键词: GMS 点云数据 切片 数据精简 点云排序 |
| 英文关键词: GMS point cloudy data slicing data thinning point cloud sequence |
| 基金项目:国家自然科学基金资助项目(41161071),云南省自然科学基金(KKSY201256093)。 |
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| 摘要点击次数: 2012 |
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| 中文摘要: |
| 为便于利用空区探测系统(CMS)采集的采空区点云数据, 在三维重建之前对点云数据进行精简是一个必要的环节。本文提出了一种基于切片的采空区点云数据精简方法。根据采空区点云数据采集的原理,将采空区理想化处理,分析扫描角、扫描线间距及扫描点水平距离之间的关系,据此确定切片间距阈值。将最近点投影到切片上拟合成曲线,结合改进后的偏角法对曲线进行采样精简处理,并以实例证明该方法的有效性。 |
| 英文摘要: |
| For ease of utilization Goaf point cloudy data collected by CMS, it is a necessary link to stream point cloudy data. In this paper, a method for point cloudy data thinning of goaf based on slicing is put forwarded. According to the principle of acquisition of goaf point cloudy data, the goaf should be idealized treatment, slice distance threshold is determined by the relationship of scanning angle, scanning line spacing and scanning point horizontal distance. The point projection to the closest slice be fitted curve section, combined with the simplification of improved angular deviation method, and examples are given to demonstrate the validity of the method. |
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