Development of a 3-Axis Gimbal for Drones to Improve Hyperspectral Imaging Quality of Large-Scale Natural Heritage
Keywords: Remote Sensing, Aerial Hyperspectral Imaging, Precision Monitoring, Geometric Calibration, Image Alignment Accuracy
Abstract. This study presents the design, fabrication, and performance validation of a precision 3-axis gimbal system for drone-mounted applications. Traditional fixed bracket systems have faced challenges in maintaining stable imaging angles and mitigating vibration, primarily due to sensor weight and structural limitations. These issues have resulted in diminished image alignment and reduced data reliability. To overcome these limitations, a precision 3-axis gimbal and external power supply system were developed, and their effectiveness in enhancing image quality was demonstrated using UgCS-based flight planning software. The system underwent two rounds of performance testing, which confirmed notable improvements in geometric calibration, power stability, imaging efficiency, and image alignment accuracy. The results of this study are expected to provide a strong foundation for precision monitoring and analysis using hyperspectral images in large-scale natural heritage applications.