Study of rock joint roughness using 3D laser scanning technique

2008 ◽  
Author(s):  
Chung-yan, Candy Tam
2020 ◽  
Vol 79 (6) ◽  
pp. 3163-3174
Author(s):  
Yunfeng Ge ◽  
Zishan Lin ◽  
Huiming Tang ◽  
Binbin Zhao ◽  
Hongzhi Chen ◽  
...  

Author(s):  
M. Bitenc ◽  
D. S. Kieffer ◽  
K. Khoshelham

The precision of Terrestrial Laser Scanning (TLS) data depends mainly on the inherent random range error, which hinders extraction of small details from TLS measurements. New post processing algorithms have been developed that reduce or eliminate the noise and therefore enable modelling details at a smaller scale than one would traditionally expect. The aim of this research is to find the optimum denoising method such that the corrected TLS data provides a reliable estimation of small-scale rock joint roughness. Two wavelet-based denoising methods are considered, namely Discrete Wavelet Transform (DWT) and Stationary Wavelet Transform (SWT), in combination with different thresholding procedures. The question is, which technique provides a more accurate roughness estimates considering (i) wavelet transform (SWT or DWT), (ii) thresholding method (fixed-form or penalised low) and (iii) thresholding mode (soft or hard). The performance of denoising methods is tested by two analyses, namely method noise and method sensitivity to noise. The reference data are precise Advanced TOpometric Sensor (ATOS) measurements obtained on 20 × 30 cm rock joint sample, which are for the second analysis corrupted by different levels of noise. With such a controlled noise level experiments it is possible to evaluate the methods’ performance for different amounts of noise, which might be present in TLS data. Qualitative visual checks of denoised surfaces and quantitative parameters such as grid height and roughness are considered in a comparative analysis of denoising methods. Results indicate that the preferred method for realistic roughness estimation is DWT with penalised low hard thresholding.


2020 ◽  
Vol 265 ◽  
pp. 105415 ◽  
Author(s):  
Han Bao ◽  
Guobiao Zhang ◽  
Hengxing Lan ◽  
Changgen Yan ◽  
Jiangbo Xu ◽  
...  

2012 ◽  
Vol 610-613 ◽  
pp. 3708-3714
Author(s):  
Tien Thanh Nguyen ◽  
Xiu Guo Liu ◽  
You Huang ◽  
Hong Ping Wang ◽  
Quoc Lap Kieu ◽  
...  

In the mining industry, conventional methods such as GPS and total station technology are used most extensively for data collection and in return used to compute volume of extracted materials (ore and waste). In situation where the ore body is bigger in size, and changes dynamically, the use of conventional method to measure volume of ore is not practicable and economically viable because of the workload involved, precision and accuracy of the survey and safety of workers. In this paper a method and work flow of ore heap volume measurement by using 3D laser scanning technique to acquire point cloud data was introduced. RiSCAN PRO and Geomagic studio was used to process the original data (registration, noise elimination, georeferencing, resampling etc.), 3D modeling and volume computations. A comparison on precision of geodetic control points coordinate measured by GPS receivers and 3D laser scanner was carried out. The results indicate that 3D laser scanning technique can effectively be applied to ore output volume measurement since it satisfies the requirement of ore volume measurement.


2017 ◽  
Vol 10 (SE) ◽  
pp. 73-84 ◽  
Author(s):  
Han-Mei CHEN ◽  
Cristian ULIANOV ◽  
Ramy SHALTOUT

Sign in / Sign up

Export Citation Format

Share Document