A UAV Vision-Based Deformation Monitoring Method with 3D Scale Constraints

Aiming at the problem that low-quality images and low-precision control points lead to scale differences between the survey area model and the real model in UAV (Unmanned Aerial Vehicle) vision-based 3D deformation monitoring, which impairs the accuracy of deformation monitoring, this paper develops a spatial 3D scale for providing high-precision scale information and proposes a UAV vision-based deformation monitoring method with 3D scale constraints, thereby improving the deformation monitoring accuracy in large-scale survey areas. Experimental results show that compared with the monitoring method using only control points as constraints, the proposed method achieves accuracy (RMSE) improvement rates of 38.6% and 48.1% in the horizontal and elevation directions respectively during four phases of UAV operations, and the 3D deformation accuracy (RMSE) improvement rate remains at approximately 42.3% during seven phases of UAV operations. This verifies the effectiveness and reliability of the UAV vision-based deformation monitoring method with 3D scale constraints.

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Publication Details

Journal
Sensors
Published
2025-12-05
DOI
https://doi.org/10.3390/s25247418
Primary Topic
3D Surveying and Cultural Heritage
Type
article
Field-Weighted Citation Impact
0.00

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article

A UAV Vision-Based Deformation Monitoring Method with 3D Scale Constraints

Wujiao Dai, Jun Liang Wu, Lei Xing, Min Zhou et al.
Sensors
3D Surveying and Cultural Heritage
article

A UAV Vision-Based Deformation Monitoring Method with 3D Scale Constraints

Wujiao Dai, Jun Liang Wu, Lei Xing, Min Zhou, Zhiwu Yu, Jianlin Liu, Deyong Pan
article en

Abstract

Aiming at the problem that low-quality images and low-precision control points lead to scale differences between the survey area model and the real model in UAV (Unmanned Aerial Vehicle) vision-based 3D deformation monitoring, which impairs the accuracy of deformation monitoring, this paper develops a spatial 3D scale for providing high-precision scale information and proposes a UAV vision-based deformation monitoring method with 3D scale constraints, thereby improving the deformation monitoring accuracy in large-scale survey areas. Experimental results show that compared with the monitoring method using only control points as constraints, the proposed method achieves accuracy (RMSE) improvement rates of 38.6% and 48.1% in the horizontal and elevation directions respectively during four phases of UAV operations, and the 3D deformation accuracy (RMSE) improvement rate remains at approximately 42.3% during seven phases of UAV operations. This verifies the effectiveness and reliability of the UAV vision-based deformation monitoring method with 3D scale constraints.

SensorsVol. 25(24)
Central South University (CN), China Railway Group (China) (CN)
China Railway
Openalex Percentile: Top 51%
3D Surveying and Cultural Heritage
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