Rock surface extraction method with multi-semantic of multi-source data

doi:10.13474/j.cnki.11-2246.2021.342

Abstract

Abstract: The extraction of complex rock surface in the rock mass environment is the key to the stability analysis of rock mass engineering such as slopes and tunnels. The texture and shape of the rock surface are complicated and irregular, which makes it difficult to extract. This paper proposes a mapping relationship construction method for TLS point cloud and digital images. Multi-geological semantics features are first integrated for homogeneous units extraction, and then homogeneous units clustering based on geological semantics is proceeded. The experimental results show that the method in this paper can achieve rock surface extraction completely and accurately.

Key words: digital images, TLS point cloud, geological semantic, rock surface, multi-source data fusion

CLC Number:

ZHANG Rongchun, YI Xuefeng, LI Hao, YUE Jianping, LU Guanming, ZHANG Xuedong. Rock surface extraction method with multi-semantic of multi-source data[J]. Bulletin of Surveying and Mapping, 2021, 0(11): 76-80,105.

References

[1] ROSS-BROWN D M, WICKENS E H, MARKLAND J T. Terrestrial photogrammetry in open-pits-2. an aid to geological mapping[J]. Transactions of the Institution of Mining and Metallurgy, Section A:Mining Technology, 1972, 82:a115-a130.
[2] 王洋, 王述红, 郭牡丹, 等. 隧道掌子面节理信息快速数字识别及稳定性分析[J]. 岩土工程学报, 2011, 33(11):1734-1739.
[3] 李浩, 张友静, 华锡生. 硐室摄影地质编录原理及其精度[J]. 武汉大学学报(信息科学版), 2002, 27(6):578-581.
[4] DEB D, HARIHARAN S, RAO U M, et al. Automatic detection and analysis of discontinuity geometry of rock mass from digital images[J]. Computers & Geosciences, 2008, 34(2):115-126.
[5] 周春霖, 朱合华, 赵文. 双目系统的岩体结构面产状非接触测量方法[J]. 岩石力学与工程学报, 2010, 29(1):111-117.
[6] BRETAR F, ARAB-SEDZE M, CHAMPION J, et al. An advanced photogrammetric method to measure surface roughness:application to volcanic terrains in the Piton de la Fournaise, Reunion Island[J]. Remote Sensing of Environment, 2013, 135:1-11.
[7] VASUKI Y, HOLDEN E J, KOVESI P, et al. Semi-automatic mapping of geological Structures using UAV-based photogrammetric data:an image analysis approach[J]. Computers & Geosciences, 2014, 69:22-32.
[8] 梁玉飞, 裴向军, 崔圣华, 等.基于地面三维激光点云的滑坡破坏边界岩体结构特征分析[J]. 岩石力学与工程学报, 2021, 40(6):1209-1225.
[9] GIGLI G, CASAGLI N. Semi-automatic extraction of rock mass structural data from high resolution LiDAR point clouds[J]. International Journal of Rock Mechanics and Mining Sciences, 2011, 48(2):187-198.
[10] 孙涛, 徐明宇, 董秀军, 等. 机载LiDAR技术应用于茂密植被山区地质灾害调查[J]. 测绘通报, 2021(4):90-97.
[11] WANG X, ZOU L, SHEN X, et al. A region-growing approach for automatic outcrop fracture extraction from a three-dimensional point cloud[J]. Computers & Geosciences, 2017, 99:100-106.
[12] 韩贤权. 从地面LiDAR点云准确提取岩体结构面的可靠方法[D]. 武汉:武汉大学,2014.
[13] XIAN Y, XIAO J, WANG Y. A fast registration algorithm of rock point cloud based on spherical projection and feature extraction[J]. Frontiers of Computer Science,2019, 13(1):170-182.
[14] FENG Q, FARDIN N, JING L, et al. A new method for in-situ non-contact roughness measurement of large rock fracture surfaces[J].Rock Mechanics and Rock Engineering, 2003, 36(1):3-25.
[15] SLOB S, VAN KNAPEN B, HACK R, et al. Method for automated discontinuity analysis of rock slopes with three-dimensional laser scanning[J]. Transportation Research Record:Journal of the Transportation Research Board, 2005, 1913(1):187-194.
[16] 荆洪迪, 李元辉, 张忠辉, 等. 基于三维激光扫描的岩体结构面信息提取[J]. 东北大学学报(自然科学版), 2015, 36(2):280-283.
[17] RÖNNHOLM P, HONKAVAARA E, LITKEY P, et al. Integration of laser scanning and photogrammetry[J]. International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2007, 39:355-362.
[18] LATO M J, VÖGE M. Automated mapping of rock discon-tinuities in 3D LiDAR and photogrammetry models[J]. International Journal of Rock Mechanics and Mining Sciences, 2012, 54:150-158.
[19] ZHANG R C, HAO L, LIU L F, et al. A G-Super4PCS registration method for photogrammetric and TLS data in geology[J]. ISPRS International Journal of Geo-Information, 2017, 6(5):129.
[20] REN X, MALIK J.Learning a classification model for segmentation[C]//Proceedings of the 9th International Conference on Computer Vision.[S.l.]:IEEE, 2003:10-17.