Improvement of rock surface roughness accuracy by combining object space resolution error and 3D point cloud features
To enhance the accuracy of joint roughness coefficient (JRC) estimation in photogrammetry, this study employed a fixed-camera shooting strategy guided by a Structure-from-Motion-based shooting parameter selection algorithm to reconstruct 3D models of rock samples at 16 different shooting distances....
Saved in:
Main Authors: | Jiang Yuan, Qing Wang, Qinzheng Yang, Yongqiang Fan, Weining Jiao |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2025-01-01
|
Series: | Frontiers in Earth Science |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/feart.2025.1497871/full |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Improvement of photogrammetric joint roughness coefficient value by integrating automatic shooting parameter selection and composite error model
by: Qinzheng Yang, et al.
Published: (2025-01-01) -
Influencing Factors of Shear Instability Characteristics of Rock Joints: Experimental and Theoretical Study
by: Hangyu Dong, et al.
Published: (2025-01-01) -
Sidewall Roughness Measurement and Bearing Performance Simulation of Rock-Socketed Piles Based on Laser Scanning Point Cloud
by: Junbao Zhang, et al.
Published: (2025-01-01) -
The Impact of Range and Incident Angle Variation on Surface Reflectivity and Roughness-Based TLS Point Cloud Accuracy
by: Bakhtyar Ahmed Mala, et al.
Published: (2024-06-01) -
Use of photogrammetry to survey Iron Age rock art motifs in the Côa Valley: the Vermelhosa Rock 3 case study (Vila Nova de Foz Côa, Portugal)
by: Natália Botica, et al.
Published: (2023-11-01)