Improvement of rock surface roughness accuracy by combining object space resolution error and 3D point cloud features

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....

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Bibliographic Details
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:
photogrammetry
rock surface roughness
JRC optimization
3D reconstrution
machine learning
Online Access:https://www.frontiersin.org/articles/10.3389/feart.2025.1497871/full
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