Journal of Korean Society of Industrial and Systems Engineering (산업경영시스템학회지)

Society of Korea Industrial and System Engineering (한국산업경영시스템학회)
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An Artificial Intelligence Research for Maritime Targets Identification based on ISAR Images

ISAR 영상 기반 해상표적 식별을 위한 인공지능 연구

  • Kim, Kitae (System Analysis Center, ROK Naval Force Analysis Test Evaluation Group) ;
  • Lim, Yojoon (Division of Liberal Arts, Kangnam University)
  • 김기태 (해군전력분석시험평가단 체계분석처) ;
  • 임요준 (강남대학교 교양학부)
  • Received : 2022.03.20
  • Accepted : 2022.04.19
  • Published : 2022.06.30
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Abstract

Artificial intelligence is driving the Fourth Industrial Revolution and is in the spotlight as a general-purpose technology. As the data collection from the battlefield increases rapidly, the need to us artificial intelligence is increasing in the military, but it is still in its early stages. In order to identify maritime targets, Republic of Korea navy acquires images by ISAR(Inverse Synthetic Aperture Radar) of maritime patrol aircraft, and humans make out them. The radar image is displayed by synthesizing signals reflected from the target after radiating radar waves. In addition, day/night and all-weather observations are possible. In this study, an artificial intelligence is used to identify maritime targets based on radar images. Data of radar images of 24 maritime targets in Republic of Korea and North Korea acquired by ISAR were pre-processed, and an artificial intelligence algorithm(ResNet-50) was applied. The accuracy of maritime targets identification showed about 99%. Out of the 81 warship types, 75 types took less than 5 seconds, and 6 types took 15 to 163 seconds.

Keywords

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