Towards semi-automatic discontinuity characterization in rock tunnel faces using 3D point clouds-Reference-Cited by-同舟云学术

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Towards semi-automatic discontinuity characterization in rock tunnel faces using 3D point clouds

Published:2021-09 Issue: Volume:291 Page:106232
ISSN:0013-7952
Container-title:Engineering Geology
language:en
Short-container-title:Engineering Geology

Author:

Chen Jiayao,Huang Hongwei,Zhou Mingliang,Chaiyasarn Krisada

Funder

Yunnan Department of Transport

Ministry of Science and Technology of the People's Republic of China

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Geology,Geotechnical Engineering and Engineering Geology

Reference69 articles.

1. K-Means++: The Advantages of Careful Seeding;Arthur,2006

2. Surveying and modeling of rock discontinuities by terrestrial laser scanning and photogrammetry: Semi-automatic approaches for linear outcrop inspection;Assali;J. Struct. Geol.,2014

3. Solid images for geostructural mapping and key block modeling of rock discontinuities;Assali;Comput. Geosci.,2016

4. Tunnel inspection using photogrammetric techniques and image processing: a review;Attard;ISPRS J. Photogramm. Remote Sens.,2018

5. Efficient radius neighbor search in three-dimensional point clouds;Behley,2015

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1. A new integrated intelligent computing paradigm for predicting joints shear strength;Geoscience Frontiers;2024-11

2. True-scale mapping of rock discontinuities from single images without calibration;Tunnelling and Underground Space Technology;2024-10

3. A new method to automatically identify and characterize rock mass discontinuities using a smartphone: Experiences from a slope and a tunnel;Tunnelling and Underground Space Technology;2024-10

4. A new method for recognizing discontinuities from 3D point clouds in tunnel construction environments;Tunnelling and Underground Space Technology;2024-10

5. Characterization of Complex Rock Mass Discontinuities from LiDAR Point Clouds;Remote Sensing;2024-09-04

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