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http://dx.doi.org/10.5139/JKSAS.2017.45.3.180

Application of Multi-Frame Based Super-Resolution Algorithm for a Color Recognition Enhancement for the UAV  

Park, Jihoon (Department of Aerospace Engineering, Busan National University)
Kim, Jeongho (Department of Aerospace Engineering, Busan National University)
Lee, Daewoo (Department of Aerospace Engineering, Busan National University)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.45, no.3, 2017 , pp. 180-190 More about this Journal
Abstract
This paper describes the application of Multi-frame based super-resolution method to enhance resolution of image information from the UAV, and the improvement of UAV's ground target recognition ability. To verify this algorithm, we designed a flight/ground control system, and the UAV, and then the algorithm was validated using the UAV system with ground target. As a result of the comparison between the pre-applied image and post-applied one shows that the RMSE is from 0.0677 to 0.0315, NRMSE is from 7.4030% to 3.5726%, PSNR is from 23.3885dB to 30.0036dB, and SSIM is from 0.6996 to 0.8948. Through these results, we validate this study can enhance the resolution of UAV's image using Multi-frame based super-resolution algorithm.
Keywords
UAV System; Image Processing; Target Recognition; Super-resolution;
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Times Cited By KSCI : 2  (Citation Analysis)
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