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Evaluation and Selection of Video Stabilization Techniques for UAV-Based Active Infrared Thermography Application
Shashank Pant1, Parham Nooralishahi2, Nicolas P Avdelidis2,3
1National Research Council Canada, Ottawa, Ontario, K1A 0R6, Canada.
Sensors (Basel, Switzerland)
|March 6, 2021
Summary
Unmanned Aerial Vehicle (UAV) inspections using active Infrared Thermography (IRT) face challenges from unexpected motions. This study evaluates video stabilization algorithms to mitigate these motions, paving the way for automated UAV-IRT systems.
Area of Science:
- Aerospace Engineering
- Non-Destructive Testing
- Robotics
Background:
- Unmanned Aerial Vehicles (UAVs) equipped with sensors like thermal and optical cameras offer cost-effective aircraft inspection.
- Unexpected UAV motion during active Infrared Thermography (IRT) inspections can lead to thermal data misinterpretation and errors in defect characterization.
Purpose of the Study:
- To evaluate various video stabilization algorithms for mitigating undesired UAV motion in active IRT inspections.
- To propose a method for selecting the most suitable stabilization algorithm for UAV-IRT systems.
Main Methods:
- Evaluation of different digital video stabilization algorithms.
- Analysis of their effectiveness in minimizing UAV motion artifacts in thermal image sequences.
Main Results:
- Video stabilization significantly reduces motion artifacts caused by UAV instability.
- A systematic approach can identify the optimal stabilization algorithm for specific UAV-IRT applications.
Conclusions:
- Video stabilization is crucial for reliable and automated UAV-IRT inspections.
- The proposed method facilitates the development of robust UAV-IRT inspection systems by addressing motion-related challenges.
