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Three-Dimensional Reconstruction and Deformation Identification of Slope Models Based on Structured Light Method
Zhijian Chen1,2, Changxing Zhang1,2, Zhiyi Tang1,2
1Faculty of Civil Engineering and Mechanics, Kunming University of Science and Technology, Kunming 650500, China.
Sensors (Basel, Switzerland)
|February 10, 2024
Summary
This study introduces a low-cost structured light 3D modeling method to analyze slope deformations during landslides. It helps identify landslide-prone areas for improved risk assessment.
Area of Science:
- Geosciences
- Geotechnical Engineering
- Photogrammetry
Background:
- Understanding slope behavior and surface deformations is crucial for landslide risk assessment.
- Traditional 3D modeling techniques can be costly and time-consuming.
- There is a need for accessible and efficient methods for landslide monitoring.
Purpose of the Study:
- To develop and present a cost-effective 3D modeling method for slope analysis using structured light.
- To enhance the understanding of slope dynamics during landslide events.
- To identify regions susceptible to severe landslide disasters through comparative analysis.
Main Methods:
- Utilizing structured light technology for precise 3D reconstruction of slope models.
- Capturing sequential images at various landslide stages.
- Applying comparative analysis to deformation data for risk assessment.
Main Results:
- Demonstrated the efficacy of structured light for swift and accurate 3D slope modeling.
- Provided a qualitative analysis of landslide-prone areas.
- Validated the system's low-cost nature and operational convenience.
Conclusions:
- The proposed structured light method offers a practical and economical solution for 3D slope modeling.
- This approach facilitates improved understanding and assessment of landslide risks.
- The system is suitable for widespread application in landslide-prone region monitoring.

