研究目的
To understand the relationship between UAS camera vibrations and image noise, and to identify maximum camera vibration frequencies that result in acceptable image noise levels for effective detection and classification of defects.
研究成果
The study found that image quality is best at vibration frequencies of up to 10 Hz, with significant decreases in quality at frequencies above 10 Hz. The Tarot T-2D gimbal performed better in conditions requiring low acceleration, while the generic gimbal was better suited for quick acceleration changes. Future research could explore vibration transfers within sUAS subsystems and test more gimbals and cameras under varying lighting conditions.
研究不足
The study was limited by the uncontrollable flight condition parameters during in-flight tests, which made it difficult to maintain or replicate vibration frequency ranges. The use of a trial version of Imatest software also limited the analysis capabilities.
1：Experimental Design and Method Selection:
The study was divided into two stages. Stage 1 involved gathering vibration frequency data during flight tests using generic and Tarot T-2D gimbals. Stage 2 evaluated the effect of vibration frequencies on image noise by simulating in-flight vibration frequencies in a controlled laboratory environment using a shaker table.
2：Sample Selection and Data Sources:
Vibration frequencies were collected using an accelerometer attached to the sUAS. Images were taken six inches away from a reference model using a GoPro Hero 4 camera.
3：List of Experimental Equipment and Materials:
Equipment included a tri-axis accelerometer, brushless gimbals (generic and Tarot T-2D), a shaker table, a waveform generator, and a GoPro Hero 4 camera.
4：Experimental Procedures and Operational Workflow:
Vibration frequencies were measured during flight tests and then simulated in a lab. Images were taken at various vibration frequencies and compared to reference images to measure noise using PSNR.
5：Data Analysis Methods:
PSNR values were calculated to measure image noise. Additional analysis was performed using Imatest software to analyze luminance noise.
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