A low-cost approach for the estimation of rock joint roughness using photogrammetry
Authors:
- Yunfeng GeYGYunfeng Ge
- Kaili ChenKCKaili Chen
- Geng LiuGLGeng Liu
- Yongquan ZhangYZYongquan Zhang
- Huiming TangHTHuiming Tang
- 27 May 2022
- journal article
- research article
- Published by Elsevier in Engineering Geology
- Vol. 305
Abstract
No abstract availableKeywords
Funding Information
- National Natural Science Foundation of China (42077264)
- National Key Research and Development Program of China (2017YFC1501303)
- National Defense Basic Scientific Research Program of China
This publication has 35 references indexed in Scilit:
- A comparative study of image low level feature extraction algorithmsEgyptian Informatics Journal, 2013
- Characterization of Joint Roughness in Granite by Applying the Scan Circle Technique to Images from a Borehole TeleviewerRock Mechanics and Rock Engineering, 2011
- EEG–MRI Co-registration and Sensor Labeling Using a 3D Laser ScannerAnnals of Biomedical Engineering, 2010
- Constitutive law for the shear strength of rock joints based on three-dimensional surface parametersInternational Journal of Rock Mechanics and Mining Sciences, 2003
- Fractal effects of surface roughness on the mechanical behavior of rock jointsChaos, Solitons & Fractals, 1997
- Object modelling by registration of multiple range imagesImage and Vision Computing, 1992
- Joint roughness measurement using shadow profilometryInternational Journal of Rock Mechanics and Mining Sciences, 1990
- Estimating joint roughness coefficientsInternational Journal of Rock Mechanics and Mining Sciences, 1979
- A new method for the determination of the roughness of rock joints in the laboratoryInternational Journal of Rock Mechanics and Mining Sciences, 1978
- The shear strength of rock joints in theory and practiceRock Mechanics and Rock Engineering, 1977