Journal of the Korea Institute of Military Science and Technology (한국군사과학기술학회지)

The Korea Institute of Military Science and Technology (한국군사과학기술학회)
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A Study on the Classification of Military Airplanes in Neighboring Countries Using Deep Learning and Various Data Augmentation Techniques

딥러닝과 다양한 데이터 증강 기법을 활용한 주변국 군용기 기종 분류에 관한 연구

  • Chanwoo, Lee (Department of Industrial Engineering, Yonsei University) ;
  • Hajun, Hwang (Department of Industrial Engineering, Yonsei University) ;
  • Hyeok, Kwon (Department of Industrial Engineering, Yonsei University) ;
  • Seungryeong, Baik (Department of Industrial Engineering, Yonsei University) ;
  • Wooju, Kim (Department of Industrial Engineering, Yonsei University)
  • 이찬우 (연세대학교 산업공학과) ;
  • 황하준 (연세대학교 산업공학과) ;
  • 권혁 (연세대학교 산업공학과) ;
  • 백승령 (연세대학교 산업공학과) ;
  • 김우주 (연세대학교 산업공학과)
  • Received : 2022.06.15
  • Accepted : 2022.11.18
  • Published : 2022.12.05
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Abstract

The analysis of foreign aircraft appearing suddenly in air defense identification zones requires a lot of cost and time. This study aims to develop a pre-trained model that can identify neighboring military aircraft based on aircraft photographs available on the web and present a model that can determine which aircraft corresponds to based on aerial photographs taken by allies. The advantages of this model are to reduce the cost and time required for model classification by proposing a pre-trained model and to improve the performance of the classifier by data augmentation of edge-detected images, cropping, flipping and so on.

Keywords

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