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

  • 제25권1호
  • /
  • Pages.55-64
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  • 2022
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  • 1598-9127(pISSN)
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  • 2636-0640(eISSN)
한국군사과학기술학회 (The Korea Institute of Military Science and Technology)
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딥러닝을 적용한 영상기반 군함 식별정보 획득에 관한 연구

A Study on the Acquisition of Identification Information from Warship Image with Deep Learning

  • 강지영 (연세대학교 산업공학과) ;
  • 김우주 (연세대학교 산업공학과)
  • Kang, Jiyoung (Industrial Engineering, Yonsei University College of Engineering) ;
  • Kim, Wooju (Industrial Engineering, Yonsei University College of Engineering)
  • 투고 : 2021.07.27
  • 심사 : 2021.12.13
  • 발행 : 2022.02.05
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초록

Identifying warships contacted at sea is important to prepare for threats. It is necessary to obtain a basis to identify warships. In this study, we propose a 2-step model that acquires the warship's type and hullnumber with identification information from the warship images. The model classifies the warship's type and detects its hullnumber area by applying object detection, then recognizes hullnumber through text recognition algorithms. Proposed model achieved high performance by using state-of-the-art deep learning algorithms.

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참고문헌

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