[an error occurred while processing this directive] [an error occurred while processing this directive] [an error occurred while processing this directive]
[an error occurred while processing this directive]
采选技术与矿山管理

基于DEM的露天矿坑坡面顶底线自动提取方法研究

  • 时天东 ,
  • 毕林
展开
  • 中南大学资源与安全工程学院,湖南 长沙 410083
毕林(1975-),男,四川通江人,副教授,从事GIS、数字矿山和铲运机无人化等方面的研究工作。

时天东(1996-),男,辽宁辽阳人,硕士研究生,从事数字矿山等方面的研究工作。

收稿日期: 2020-12-26

  修回日期: 2021-03-08

  网络出版日期: 2021-10-08

基金资助

国家自然科学基金项目“基于深度学习和距离场的复杂金属矿体三维建模技术研究”(41572317)

Research on Automatic Extraction Method of Top and Bottom Line of Open-Pit Slope Based on DEM

  • Tiandong SHI ,
  • Lin BI
Expand
  • School of Resources and Safety Engineering,Center South University,Changsha 410083,Hunan,China

Received date: 2020-12-26

  Revised date: 2021-03-08

  Online published: 2021-10-08

本文亮点

针对露天矿坑坡面顶底线传统提取方法存在的低效率问题,提出了一种从露天矿坑DEM(数字高程模型,Digital Elevation Model)三维模型中自动提取坡顶底线的方法。首先对原始三维模型数据进行双边滤波预处理,进行去噪并保留特征点;其次根据高程值的标准差设定阈值后将DEM三维模型转化为灰度图像;最后采用梯度运算进行边缘检测,同时设计一个基于八邻域的搜索算法,将边缘像素按顺序连接成完整的台阶线。试验结果表明:自动化方法与传统人工提取方法相比,在保证提取精度的条件下,极大地提高了工作效率,最重要的是实现了提取过程自动化。该方法同样适用于DEM三维模型的地形特征线提取。

本文引用格式

时天东 , 毕林 . 基于DEM的露天矿坑坡面顶底线自动提取方法研究[J]. 黄金科学技术, 2021 , 29(4) : 612 -619 . DOI: 10.11872/j.issn.1005-2518.2021.04.006

Highlights

The slope top and bottom line plays an important role in open-pit mine mining design, production planning,calculation of stripping volume,road network planning,etc.Traditional extraction methods require the use of total stations and other equipment to rely on manual extraction,which is inefficient.In order to solve the problem of low efficiency of the traditional method of manually extracting the slope top and bottom line from the open-pit mine 3D model,a method of automatically extracting the slope top and bottom line from the open-pit mine DEM (Digital Elevation Model) 3D model was studied.The first step of the method is to pre-process the elevation data with up-sampling and bilateral filtering.The second step is to set a threshold,then according to the different elevation values of different regions in the DEM 3D model,different regions are converted into grayscale images with different pixel values.The last step is to perform gradient operation on the gray image,extract the edge pixels in the image,combine with an improved Zhang-Suen algorithm to extract the skeleton of the edge lines,and design a search algorithm based on eight neighborhoods to order the edge pixels and connect them into a complete contour line,and use the Douglas-Peucker algorithm for thinning to get the final step line.The experiment used the measured three-dimensional model data of an open-pit mine for testing.With the aid of a three-dimensional visualization software platform,the extracted step line is superimposed with the three-dimensional model of the pit,visually analyzed and compared,and the accuracy of the extracted results is judged.The visualization results show that compared with the traditional manual extraction method,the automation method greatly improves the work efficiency under the condition of ensuring the extraction accuracy,and most importantly realizes the automation of the extraction process.This method is also applicable to the terrain features of the DEM 3D model line extraction.

[an error occurred while processing this directive]

脚注

http://www.goldsci.ac.cn/article/2021/1005-2518/1005-2518-2021-29-4-612.shtml

Chen Huawei Yuan Xiaocui Wu Lushen al et2019.Automatic point cloud feature-line extraction algorithm based on curvature-mutation analysis[J].Optics and Precision Engineering27(5):1218-1228.

Chen W Sui L C Xu Z C al et2012.Improved Zhang-Suen thinning algorithm in binary line drawing applications[C]//International Conference on Systems and Informatics(ICSAI2012).Yantai:IEEE:1947-1950.

Cheng X L Cheng X J Li Q al et2018.Automatic registration of terrestrial and airborne point clouds using building outline features[J].IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing11(2):628-638.

Fuentes I O H Bravo-Zanoguera M E Yanez G G2009.FPGA implementation of the bilinear interpolation algorithm for image demosaicking[C]//International Conference on Ele-ctrical,Communications,and Computers.Cholula,Puebla:IEEE:25-28.

Kang X Li J Fan X2018.Line feature extraction from RGB laser point cloud[C]//International Congress on Image and Signal Processing,BioMedical Engineering and Informatics (CISP-BMEI).Beijing:IEEE:1-5.

Kang Z Z Zhong R F Wu A al et2016.An Efficient planar feature fitting method using point cloud simplification and threshold-independent baysac[J].IEEE Geoscience and Remote Sensing Letters13(12):1842-1846.

Kim H Liu B Myung H2017.Road-feature extraction using point cloud and 3D LiDAR sensor for vehicle localization[C]//International Conference on Ubiquitous Robots and Ambient Intelligence (URAI).Jeju:IEEE:891-892.

Li Guangjin Yang Tao2019.A guided point cloud filtering algorithm combined with Gaussian statistics[J].Manufacturing Automation41(4):80-84.

Liu Lijun Liu Jiping Zhou Yuanying al et2003.A study of automatic vecror system about topographic map based on mathematical morphology[J].Application Research of Co-mputers,(2):83-85.

Ma Xianming Li Yongshu Xie Jiali2017.Experiment and analysis of point cloud denoising using bilateral filtering method[J].Bulletin of Surveying and Mapping,(2):87-89.

Sun Chao Tan Zhenghua2019.Optimal selection of the final boundary of open-pit mine under multi-factor conditions[J].Nonferrous Metals Engineering9(5):72-80.

Wang Qing Gu Xiaowei Xu Xiaochuan al et2014.Holistic optimization of production planning elements and its application for open-pit mine[J].Journal of Northeastern University(Nature Science)35(12):1796-1800.

Wang S M Chen Y M Liu Y F al et2015.The extraction of feature points from DEM geographic data in cloud computing environment[C]//International Conference on Geoinforma-tics.Wuhan:IEEE:1-5.

Wu Qunyong Wu Zufei Zhang Liangpan2019.GPS trajectory agglomeration and refined road network extraction[J].Acta Geodaetica et Cartographica Sinica48(4):502-511.

Yu J Chen G Zhang X al et2013.An improved Douglas-Peucker algorithm aimed at simplifying natural shoreline into direction-line[C]//21st International Conference on Geoinformatics.Kaifeng:IEEE:1-5.

Yuan Ruidong Yang Xinfeng Wang Lei al et2018.Application of automatic generation method of open-pit characteristic line based on point cloud data[J].Modern Mining34(10):168-170.

Zhang Y Y Jing X J Wang X Y2009.An approach to improve the ZS thinning algorithm[C]// International Conference on Network Infrastructure and Digital Content.Beijing:IEEE:750-753.

Zhong Baojiang Lu Zhifang Ji Jiahuan2016.Review on image interpolation techniques[J].Journal of Data Acquisition and Processing31(6):1083-1096.

Zhu Haibin Wang Yan Li Yamei2018.Surveying and mapping of open-pit mining area using unmanned aerial vehicle[J].Coal Engineering50(10):162-166.

Zhu Qing Zhao Jie Zhong Zheng al et2004.The extraction of topographic patterns based on regular grid DEMs[J].Acta Geodaetica et Cartographica Sinica,(1):77-82.

陈华伟,袁小翠,吴禄慎,等,2019.基于曲率突变分析的点云特征线自动提取[J].光学精密工程27(5):1218-1228.

李广金,杨涛,2019.一种结合高斯统计的点云引导滤波算法[J].制造业自动化41(4):80-84.

刘利军,刘吉平,周远英,等,2003.基于数学形态学的地形图自动矢量化研究[J].计算机应用研究,(2):83-85.

马先明,李永树,谢嘉丽,2017.利用双边滤波法进行点云去噪的试验与分析[J].测绘通报,(2):87-89.

孙超,谭正华,2019.多因素条件下的露天矿最终境界优选[J].有色金属工程9(5):72-80.

王青,顾晓薇,胥孝川,等,2014.露天矿生产规划要素整体优化方法及其应用[J].东北大学学报(自然科学版)35(12):1796-1800.

邬群勇,吴祖飞,张良盼,2019.出租车GPS轨迹集聚和精细化路网提取[J].测绘学报48(4):502-511.

袁睿栋,杨新锋,王磊,等,2018.基于点云数据的露天矿坑特征线自动生成方法的应用[J].现代矿业34(10):168-170.

钟宝江,陆志芳,季家欢,2016.图像插值技术综述[J].数据采集与处理31(6):1083-1096.

朱海斌,王妍,李亚梅,2018.基于无人机的露天矿区测绘研究[J].煤炭工程50(10):162-166.

朱庆,赵杰,钟正,等,2004.基于规则格网DEM的地形特征提取算法[J].测绘学报,(1):77-82.

文章导航

/

[an error occurred while processing this directive]