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Automated Determination of the Volume of Loose Engineering Deposits Using Terrestrial Laser Scanning

Authors :
Bo Lu
Jichen Zhu
Yunfeng Ge
Qian Chen
Zhongxu Wen
Geng Liu
Liangquan Li
Source :
Remote Sensing, Vol 15, Iss 18, p 4604 (2023)
Publication Year :
2023
Publisher :
MDPI AG, 2023.

Abstract

A new method for automatic volume determination of loose engineering deposits (LEDs) using point clouds collected by terrestrial laser scanning is proposed. The method starts with a problem of lacking bottom surface point clouds when scanning LEDs, assuming that the bottom surface is flat, a spatial plane is generated based on the plane fitting to the bottom surface. Then the sample point cloud is projected on this fitted plane to construct the subface point clouds, which, together with the initial point cloud data, are stitched into complete point cloud data with good closure, integrity, and accuracy. The 3D surface model established by introducing the alpha shape algorithm calculates the volume, and the validation experiments on three soil mound models and one field experiment on LEDs with a minimum average error of only 1.69% fully validate the effectiveness and accuracy of the method. The encouraging results show that effective volume calculation can be performed on realistic LEDs using the proposed method.

Details

Language :
English
ISSN :
20724292
Volume :
15
Issue :
18
Database :
Directory of Open Access Journals
Journal :
Remote Sensing
Publication Type :
Academic Journal
Accession number :
edsdoj.524d6b40cc48ae93eda8a338de28ce
Document Type :
article
Full Text :
https://doi.org/10.3390/rs15184604