A practical photogrammetric workflow in the field for the construction of a 3D rock joint surface database

被引：17
|
作者：
Zhao Lianheng [1 ,2 ]
Huang Dongliang [1 ]
Chen Jingyu [1 ]
Wang Xiang [1 ]
Luo Wei [3 ]
Zhu Zhiheng [1 ]
Li Dejian [4 ]
Zuo Shi [1 ]
机构：
[1] Cent South Univ, Sch Civil Engn, Changsha 410075, Hunan, Peoples R China
[2] Cent South Univ, Key Lab Heavy Haul Railway Engn Struct, Minist Educ, Changsha 410075, Hunan, Peoples R China
[3] East China Jiaotong Univ, Sch Civil Engn & Architecture, Nanchang 330013, Jiangxi, Peoples R China
[4] Southwest Jiaotong Univ, Sch Civil Engn, Dept Geotech Engn, Chengdu 610031, Sichuan, Peoples R China
来源：
ENGINEERING GEOLOGY | 2020年 / 279卷
基金：
中国国家自然科学基金;
关键词：
Rock joint database; Photogrammetry; Geometry; 3D digital model; 3D reconstruction; Field investigation;
D O I：
10.1016/j.enggeo.2020.105878
中图分类号：
P5 [地质学];
学科分类号：
0709 ; 081803 ;
摘要：
Collecting morphological characteristics of rock joint surfaces and building a digital rock joint library with abundant sample types and sufficient sample numbers is important for fractured rock mass analysis. To solve the "inflexible field operation" problem in existing contact type and non-contact type data collection procedures, this work presents a photogrammetric workflow in the field for the construction of a 3D rock joint surface database. Innovations in some steps make it practical for field scenarios: image collection procedures in the field and post-processing steps of the SfM-MVS-derived dense point cloud. The performance is considered as good as that of white light scanning, and sub-millimetre accuracy is achieved during batch processing. Two rock joint databases containing 310 samples are established, and two application examples show very good potential of the proposed photogrammetric workflow in the evaluation of rock joint roughness and rock joint anisotropy.
引用
收藏
页数：16
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