Automatic identification of irregular rock blocks from 3D point cloud data of rock surface
文献类型：期刊论文
| 作者 | Long,Yangjun4; Huang,Qian1,4; Wu,Faquan1,2,4; Yi,Hongqing3; Guan,Shenggong1,4; Sha,Peng1,4 |
| 刊名 | IOP Conference Series: Earth and Environmental Science
 |
| 出版日期 | 2021-10-01 |
| 卷号 | 861期号:2 |
| ISSN号 | 1755-1307 |
| DOI | 10.1088/1755-1315/861/2/022048 |
| 英文摘要 | Abstract The block size is an important index for determining the integrity of rock masses, as well as the evidence for estimating the rock mass classification. However, obtaining the block size information of exposed rock is a time-consuming, labor-intensive and high risk work. This paper proposed a new method to automatically identify the rock block and calculate the block size based on the 3D point cloud data of rock surface. The proposed method includes four steps: (1) automatic identification of rock discontinuity and extraction of information based on several machine learning algorithms, (2) Rough extraction of block discontinuities combination by distance filtering and angle filtering, (3) accurate identification and extraction of blocks by applying mutual projection of centroid and adding angle repair coefficient, (4) calculation of block size by filling in the concavity outline of point cloud for single block. An automatically statistic and analyzed program is compiled by matlab language based on massive point cloud of block information. The method is applied in controllable boxes model and real road cut slope, making comparison with the results of former research and calculated results by specialized point cloud processing software. It reveals that the proposed method is applicable with high calculating accuracy and efficiency. |
| 语种 | 英语 |
| 出版者 | IOP Publishing |
| WOS记录号 | IOP:EES_861_2_022048 |
| 源URL | [http://ir.iggcas.ac.cn/handle/132A11/102951]  |
| 专题 | 地质与地球物理研究所_中国科学院页岩气与地质工程重点实验室 |
| 作者单位 | 1.Key Laboratory of Rock Mechanics and Geohazards of Zhejiang Province, Shaoxing,312000, China 2.Institute of Geology and Geophysics, Chinese Academy of Sciences, Beijing 10029, China 3.Zhejiang Geological Survey Bureau for Non-ferrous Metal, Shaoxing, 312000, China 4.College of civil engineering, Shaoxing University, Shaoxing, 312000, China |
| 推荐引用方式 GB/T 7714 | Long,Yangjun,Huang,Qian,Wu,Faquan,et al. Automatic identification of irregular rock blocks from 3D point cloud data of rock surface[J]. IOP Conference Series: Earth and Environmental Science,2021,861(2). |
| APA | Long,Yangjun,Huang,Qian,Wu,Faquan,Yi,Hongqing,Guan,Shenggong,&Sha,Peng.(2021).Automatic identification of irregular rock blocks from 3D point cloud data of rock surface.IOP Conference Series: Earth and Environmental Science,861(2). |
| MLA | Long,Yangjun,et al."Automatic identification of irregular rock blocks from 3D point cloud data of rock surface".IOP Conference Series: Earth and Environmental Science 861.2(2021). |
入库方式： OAI收割
来源：地质与地球物理研究所
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