Research on the Design and Automatic Recognition Algorithm of Subsidence Marks for Close-Range Photogrammetry.
Liyuan Meng1,2, Jingui Zou1,2, Guojian Liu2
1School of Geodesy and Geomatics, Wuhan University, Wuhan 430079, China.
Sensors (Basel, Switzerland)
|January 23, 2020
Summary
A new close-range photogrammetry technique offers a fast, economical, and precise method for measuring structural subsidence. This innovative approach using barcode marks overcomes limitations of traditional surveying for critical infrastructure monitoring.
Area of Science:
- Geodesy and Geomatics Engineering
- Civil Engineering
- Photogrammetry
Background:
- Traditional structural subsidence measurement methods are insufficient for China's rapid infrastructure development.
- Existing techniques like leveling instruments are inefficient and time-consuming for monitoring bridges and tunnels.
Purpose of the Study:
- To introduce a novel, fast, economical, and accurate method for surveying building subsidence.
- To address the urgent need for improved monitoring of critical national infrastructure.
Main Methods:
- Development of a close-range photogrammetry technique utilizing a fixed camera with a tilt compensator.
- Implementation of automated barcode subsidence marks for digital image processing, replacing traditional leveling points.
Main Results:
- Experimental validation across four diverse locations demonstrated stable and consistent results.
- The new method's accuracy and precision were confirmed through comparison with total station measurements.
Conclusions:
- The developed photogrammetry technique provides a simple, inexpensive, and highly accurate solution for structural subsidence monitoring.
- This approach is suitable for the precise and efficient surveying of critical infrastructure.
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