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 Acquisition of Identification Information from Warship Image with Deep Learning

딥러닝을 적용한 영상기반 군함 식별정보 획득에 관한 연구

  • Kang, Jiyoung (Industrial Engineering, Yonsei University College of Engineering) ;
  • Kim, Wooju (Industrial Engineering, Yonsei University College of Engineering)
  • 강지영 (연세대학교 산업공학과) ;
  • 김우주 (연세대학교 산업공학과)
  • Received : 2021.07.27
  • Accepted : 2021.12.13
  • Published : 2022.02.05
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Abstract

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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References

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