Journal of the Society of Naval Architects of Korea (대한조선학회논문집)

The Society of Naval Architects of Korea (대한조선학회)
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Noise Removal of Radar Image Using Image Inpainting

이미지 인페인팅을 활용한 레이다 이미지 노이즈 제거

  • Jeon, Dongmin (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Oh, Sang-jin (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Lim, Chaeog (Department of Naval Architecture and Ocean Engineering, Pusan National University) ;
  • Shin, Sung-chul (Department of Naval Architecture and Ocean Engineering, Pusan National University)
  • 전동민 (부산대학교 조선해양공학과) ;
  • 오상진 (부산대학교 조선해양공학과) ;
  • 임채옥 (부산대학교 조선해양공학과) ;
  • 신성철 (부산대학교 조선해양공학과)
  • Received : 2021.11.11
  • Accepted : 2022.02.04
  • Published : 2022.04.20
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Abstract

Marine environment analysis and ship motion prediction during ship navigation are important technologies for safe and economical operation of autonomous ships. As a marine environment analysis technology, there is a method of analyzing waves by measuring the sea states through images acquired based on radar(radio detection and ranging) signal. However, in the process of deriving marine environment information from radar images, noises generated by external factors are included, limiting the interpretation of the marine environment. Therefore, image processing for noise removal is required. In this study, image inpainting by partial convolutional neural network model is proposed as a method to remove noises and reconstruct radar images.

Keywords

Acknowledgement

본 논문은 2022년도 해양수산부 및 해양수산과학기술진흥원 연구비 지원으로 수행된 '자율운항선박 기술개발사업(20200615)'의 연구결과입니다.

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