편류보정을 통한 무인항공기 영상품질 향상에 관한 연구
A Study on the Improvement of the Image Quality for UAV Using Drift Compensation
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Purpose: In this paper, the improvement of the image quality is investigated. The image quality is degraded by the drift phenomenon of EO/IR (Electro-Optical/Infrared) device on UAV. The drift phenomenon means that the image of EO/IR equipment on UAV(Unmanned Aerial Vehicle) moves to the unintended direction. This phenomenon should be improved for successful flight mission. Methods: To improve the drift phenomenon, the drift compensation method, the combination algorithm of FMC(Forward Motion Compensation) and AMC(Angular Motion Compensation) method, are introduced to calculate pitch and azimuth angle. Result values of pitch and azimuth angle are used for the improvement of image quality in EO/IR control logic. Results: The image quality is quantitatively improved more than 15 times through field test data of flight. Conclusion: Using the drift compensation technique, the image quality for EO/IR equipment is improved over 15 times than existing methods. This means the user of UAV with EO/IR device can perform a successful mission by keeping the line of sight for the target accurately.
Abstract
Purpose: In this paper, the improvement of the image quality is investigated. The image quality is degraded by the drift phenomenon of EO/IR (Electro-Optical/Infrared) device on UAV. The drift phenomenon means that the image of EO/IR equipment on UAV(Unmanned Aerial Vehicle) moves to the unintended direction. This phenomenon should be improved for successful flight mission. Methods: To improve the drift phenomenon, the drift compensation method, the combination algorithm of FMC(Forward Motion Compensation) and AMC(Angular Motion Compensation) method, are introduced to calculate pitch and azimuth angle. Result values of pitch and azimuth angle are used for the improvement of image quality in EO/IR control logic. Results: The image quality is quantitatively improved more than 15 times through field test data of flight. Conclusion: Using the drift compensation technique, the image quality for EO/IR equipment is improved over 15 times than existing methods. This means the user of UAV with EO/IR device can perform a successful mission by keeping the line of sight for the target accurately.
참고문헌 (5)
- Development of Domestic UAV EO, "IR System Performance Improvement", Korea Aerospace Industry, 2011, System Development Technical Report
- Longstaff, Ian, "Precision Attitude Determination Using a Low Grade GPS-Aided Inertial Measurement Unit", Proceedings of the 10th International Meeting of the Satellite Division of The Institue of Navigation(ION GPS 1997):, pp.323~328 (1997)
- Monda, Mark, "Ground Target Localization and Tracking in a Riverine Environment from a UAV With a Gimbaled Camera", AIAA Guidance. Navigation and Control Conference and Exhibit (2007), AIAA
- Roland, Schlienger, "Increased Image Quality Resulting from New Technologies in Aerial Camera", International Archives of Photogrammetry and Remote Sensing, 31, pp.176~181 (1996)
- Yu, Jiaxiang, "New Geo-location Approach Based on Camera Coordinates and Common Points on Multiple Images", Defense Science Journal, 59(1), pp.43~48 (2009)