<scp>RTK</scp> ‐ <scp>GNSS</scp> Assisted <scp>SfM</scp> Photogrammetry for Retaining Wall Monitoring Using Metashape and <scp>Pix4D</scp>

ABSTRACT Ground surfaces and retaining walls are necessary to monitor to mitigate against the risk of sediment disasters. Currently, the methods employed for monitoring of retaining walls rely heavily on visual inspection of cracks. This is time‐consuming and subjective as the results vary depending on the inspector. Hence, it is necessary to establish a more efficient and versatile monitoring method. This paper proposes a surface deformation monitoring method using Structure‐from‐Motion Photogrammetry, in which a Digital Single‐lens Reflex camera is attached to a Real Time Kinetic Global Navigation Satellite System (GNSS) to acquire images with precise position coordinates. In this study, point clouds were generated using Pix4DMapper and Agisoft Metashape and analysed in Cloud Compare. The two point clouds acquired at the same location at separate times, were aligned using the Iterative Closest Point algorithm. Change detection methods of the two point clouds were performed to visualise the surface deformation. The results showed that displacements can be seen from 5, 10, 15 and 20 mm test boards with errors of 0.28 to1.68 mm for Metashape and 0.29 mm to 2.84 mm for Pix4D at the retaining wall.

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Publication Details

Journal
The Photogrammetric Record
Published
2026-04-01
DOI
https://doi.org/10.1111/phor.70042
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00

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article

RTK ‐ GNSS Assisted SfM Photogrammetry for Retaining Wall Monitoring Using Metashape and Pix4D

Afia S. BONEY, Satoshi Nishiyama
The Photogrammetric Record
3D Surveying and Cultural Heritage
article

RTK ‐ GNSS Assisted SfM Photogrammetry for Retaining Wall Monitoring Using Metashape and Pix4D

Afia S. BONEY, Satoshi Nishiyama
article en

Abstract

ABSTRACT Ground surfaces and retaining walls are necessary to monitor to mitigate against the risk of sediment disasters. Currently, the methods employed for monitoring of retaining walls rely heavily on visual inspection of cracks. This is time‐consuming and subjective as the results vary depending on the inspector. Hence, it is necessary to establish a more efficient and versatile monitoring method. This paper proposes a surface deformation monitoring method using Structure‐from‐Motion Photogrammetry, in which a Digital Single‐lens Reflex camera is attached to a Real Time Kinetic Global Navigation Satellite System (GNSS) to acquire images with precise position coordinates. In this study, point clouds were generated using Pix4DMapper and Agisoft Metashape and analysed in Cloud Compare. The two point clouds acquired at the same location at separate times, were aligned using the Iterative Closest Point algorithm. Change detection methods of the two point clouds were performed to visualise the surface deformation. The results showed that displacements can be seen from 5, 10, 15 and 20 mm test boards with errors of 0.28 to1.68 mm for Metashape and 0.29 mm to 2.84 mm for Pix4D at the retaining wall.

The Photogrammetric RecordVol. 41(194)
Okayama University of Science (JP), Okayama University (JP), Okayama Prefectural Tsuyama High School (JP), Okayama Prefecture (JP), Industrial Technology Center of Okayama Prefecture (JP)
Ministry of Land, Infrastructure, Transport and Tourism
Climate action
Openalex Percentile: Top 11%
3D Surveying and Cultural Heritage
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