|Table of Contents|

Study on Point Cloudy Data Simplification of Goaf Based on Improved Angular Deviation Method(PDF)

《地球科学与环境学报》[ISSN:1672-6561/CN:61-1423/P]

Issue:
2012年第02期
Page:
106-110
Research Field:
地球信息科学
Publishing date:

Info

Title:
Study on Point Cloudy Data Simplification of Goaf Based on Improved Angular Deviation Method
Author(s):
FANG Yuan-min;  XIA Yong-hua;  CHEN Jie;  SONG Wei-wei;  YANG Yong-ming;  ZUO Xiao-qing
School of Land Resource Engineering, Kunming University of Science and Technology, Kunming 650093, Yunnan, China
Keywords:
cavity monitoring system;  point cloudy data;  goaf;  data simplification;  angular deviation method;  scan line;  3D modeling
PACS:
P208; TP391.72
DOI:
-
Abstract:
It is necessary to simplify point cloudy data in order to improve 3D modeling and its application on the condition of remaining the geometric feature of goaf. The evaluation system for point cloud data simplification algorithm was introduced, and the characteristics of point cloudy data of goaf scanned by cavity monitoring system were discussed; according to the comparison with point cloud data simplification algorithms including minimum distance method, average distance method, angular deviation method and chord height deviation method, improved angular deviation method, which was more effective to remain the geometric feature of goaf, was proposed. Compared with the perimeter, area and standard deviation of scan lines before and after simplification, the results showed that improved angular deviation method not only remained the details of scan lines, but also uniformed the points on the simplified scan lines. The improved angular deviation method could lay a good foundation for the subsequent 3D modeling and its application.

References:

[1] 来兴平.路基下大采空区动力灾害监测预报[J].长安大学学报:自然科学版,2003,23(5):28-31. LAI Xing-ping.Dynamical and Unstable Monitoring Signal of Large Scale Subsiding Area Under Roadbed[J].Journal of Chang'an University:Natural Science Edition,2003,23(5):28-31.
[2] 计 宏,余学义,高志兴,等.彬长生产服务区下采空区稳定性评价研究[J].西安科技大学学报,2011,31(5):544-548. JI Hong,YU Xue-yi,GAO Zhi-xing,et al.Assessment on Stability of Mine Goaf in Binchang Production Service Area[J].Journal of Xi'an University of Science and Technology,2011,31(5):544-548.
[3] 汤伏全,原 涛,汪桂生.渭北矿区厚黄土层采动变形数值模拟研究[J].西安科技大学学报,2011,31(1):53-58. TANG Fu-quan,YUAN Tao,WANG Gui-sheng.Mining Deformation Numerical Simulation of Thick Loess Layer in Weibei Mining Area[J].Journal of Xi'an University of Science and Technology,2011,31(1):53-58.
[4] SCHROEDER W J,ZARGE J A,LORENSEN W E.Decimation of Triangle Meshes[J].Computer Graphics,1992,26(2):65-70.
[5] TURK G.Re-tiling Polygonal Surfaces[J].Computer Graphics,1992,26(2):55-64.
[6] ECK M,DEROSE T,DUCHAMP T,et al.Multireso- lution Analysis of Arbitrary Meshes[J].Computer Graphics,1995,29(2):173-182.
[7] FILIP D,MAGEDSON R,MARKOT R.Surface Algorithms Using Bounds on Derivatives[J].Computer Aided Geometric Design,1986,3(4):295-311.
[8] LEE K H,WOO H,SUK T.Point Data Reduction Using 3D Grids[J].The International Journal of Advanced Manufacturing Technology,2001,18(3):201-210.
[9] 刘德平,陈建军.逆向工程中数据精简技术的研究[J].西安电子科技大学学报:自然科学版,2008,35(2):334-339. LIU De-ping,CHEN Jian-jun.Point Data Reduction Technique in Reverse Engineering[J].Journal of Xidian University:Natural Science Edition,2008,35(2):334-339.
[10] 吴杭彬,刘 春.三维激光扫描点云数据的空间压缩[J].遥感信息,2006(2):22-24. WU Hang-bin,LIU Chun.Spatial Compression of Point Cloud Data from Three Dimension Laser Scanning[J].Remote Sensing Information,2006(2):22-24.
[11] YU Z W,WONG H S.ASM:an Adaptive Simplification Method for 3D Point-based Models[J].Computer-aided Design,2010,42(7):598-612.
[12] 徐 尚.三维点云数据拼接与精简技术的研究[D].青岛:中国海洋大学,2009. XU Shang.Study on Data Registration and Reduction for 3D Point Clouds[D].Qingdao:Ocean University of China,2009.
[13] 温银放.数据点云预处理及特征角点检测算法研究[D].哈尔滨:哈尔滨工程大学,2007. WEN Yin-fang.Research on the Algorithms of Point Cloud Pre-processing and Feature Corner Detection[D].Harbin: Harbin Engineering University,2007.
[14] WAND M,BERNER A,BOKELOH M,et al. Process-ing and Interactive Editing of Huge Point Clouds from 3D Scanners[J].Computers and Graphics,2008,32(2):204-220.
[15] 夏永华,方源敏,孙宏生,等.三维激光探测技术在采空区测量中的应用与实践[J].金属矿山,2009(2):112-113. XIA Yong-hua,FANG Yuan-min,SUN Hong-sheng,et al.Application Practice of 3D Laser Monitoring Technology in Finished Stope Survey[J].Metal Mine,2009(2):112-113.
[16] 夏永华,方源敏,陈 杰,等.采空区点云数据的小波平滑方法[J].湖南科技大学学报:自然科学版,2012,27(1):84-87. XIA Yong-hua,FANG Yuan-min,CHEN Jie,et al.A Wavelet Smoothing Algorithm for Cloudy Data of Goaf[J].Journal of Hunan University of Science and Technology:Natural Science Edition,2012,27(1):84-87.
[17] 赵 柳,马 礼,杨银刚,等.逆向工程中散乱点云数据精简研究[J].光电技术应用,2010,25(1):60-63. ZHAO Liu,MA Li,YANG Yin-gang,et al.Scattered Cloud Data Reduction Technique in Reverse Engineering[J].Electro-optic Technology Application,2010,25(1):60-63.
[18] HUANG M C,TAI C C.The Pre-processing of Data Points for Curve Fitting in Reverse Engineering[J].The International Journal of Advanced Manufacturing Technology,2000,16(9):635-642.
[19] 惠文华,郭新成.3D-GIS中空间曲线绘制方法研究[J].地球科学与环境学报,2005,27(2):63-65. HUI Wen-hua,GUO Xin-cheng.Method of Drawing Spatial Curves in 3D-GIS[J].Journal of Earth Sciences and Environment,2005,27(2):63-65.

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Last Update: 2012-06-20