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采空区点云数据的小波平滑方法 被引量:4

A wavelet smoothing algorithm for cloudy data of goaf
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摘要 利用3D空区探测系统(CMS)采集矿山采空区点云数据为线扫描方式,在三维重建之前对点云数据进行平滑处理是一个必要的环节.提出了一种基于小波变换的采空区点云数据平滑方法,该方法主要分为三维扫描线的降维处理和信号平滑滤波2个步骤.对采空区的三维激光扫描线,用弧长为参数进行参数方程分解,将三维空间扫描线分解到3个方向上,利用一维信号处理方法分别进行小波平滑处理,再将平滑处理后的数据重建扫描线.通过在MATLAB环境下对某采空区的一条扫描线进行了仿真实验,证明了该方法有效的解决了采空区三维激光扫描线的不光滑问题. The mine goaf point cloud data collected by CMS is line scan mode,it is a necessary link to smooth point cloud data.The smooth treatment method of the mine goaf point cloud data was put forward based on wavelet transformation.The method was divided into 2-steps of lower-dimensional of 3D scanning lines and signal smoothing.The 3D laser scanning line of mine goaf should be broken down to the three directions by the arc parameters equations of x(s),y(s) and z(s),an method of one-dimensional signal wavelet analysis smoothing process is applied respectively;And then the smoothed data were composed as a curve.A scanned line of mine goaf was simulated in MATLAB proved that it was a effective solution to smooth the mine goaf 3D scanning lines.
出处 《湖南科技大学学报(自然科学版)》 CAS 北大核心 2012年第1期84-87,共4页 Journal of Hunan University of Science And Technology:Natural Science Edition
基金 国家自然科学基金资助项目(41161071 41061043)
关键词 GMS 点云数据 MATLAB 小波变换 数据平滑 CMS point cloudy data MATLAB wavelet transformation data smoothing
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