Application of Radar Image Fusion Method to Near-Field Sea Ice Warning for Autonomous Ships in the Polar Region

Mastering the real-time dynamics of near-field sea ice is the primary condition to guaranteeing the navigation safety of autonomous ships in the polar region. In this study, a radar image fusion process combining marine radar and ice radar is proposed, which can effectively solve the problems of red...

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Published in:Journal of Marine Science and Engineering
Main Authors: Tsung-Hsuan Hsieh, Bo Li, Shengzheng Wang, Wei Liu
Format: Text
Language:English
Published: Multidisciplinary Digital Publishing Institute 2022
Subjects:
Online Access:https://doi.org/10.3390/jmse10030421
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spelling ftmdpi:oai:mdpi.com:/2077-1312/10/3/421/ 2023-08-20T04:09:40+02:00 Application of Radar Image Fusion Method to Near-Field Sea Ice Warning for Autonomous Ships in the Polar Region Tsung-Hsuan Hsieh Bo Li Shengzheng Wang Wei Liu agris 2022-03-14 application/pdf https://doi.org/10.3390/jmse10030421 EN eng Multidisciplinary Digital Publishing Institute Ocean Engineering https://dx.doi.org/10.3390/jmse10030421 https://creativecommons.org/licenses/by/4.0/ Journal of Marine Science and Engineering; Volume 10; Issue 3; Pages: 421 autonomous ships in the polar region sea ice warning radar image fusion ice radar Text 2022 ftmdpi https://doi.org/10.3390/jmse10030421 2023-08-01T04:27:16Z Mastering the real-time dynamics of near-field sea ice is the primary condition to guaranteeing the navigation safety of autonomous ships in the polar region. In this study, a radar image fusion process combining marine radar and ice radar is proposed, which can effectively solve the problems of redundant information and spatial registration during image fusion. Then, using the fused radar images, this study proposes a set of near-field sea ice risk assessment and warning processes applicable to both low- and high-sea-ice-concentration situations. The sea ice risk indexes in these two situations are constructed by using four variables: sea ice area, sea ice grayscale, distance between sea ice and the own-ship, and relative bearing of sea ice and the own-ship. Finally, visualization processing is carried out according to the size of the risk index values of each piece of sea ice to achieve a better near-field sea ice risk assessment and warning effect. According to the example demonstration results, through the radar image fusion process and the set of near-field sea ice risk assessment and warning processes proposed in this study, the sea ice risk distribution in the near-field area of the ship can be well obtained, which provides effective support for the assisted decision-making of autonomous navigation in the polar region. Text Sea ice MDPI Open Access Publishing Journal of Marine Science and Engineering 10 3 421
institution Open Polar
collection MDPI Open Access Publishing
op_collection_id ftmdpi
language English
topic autonomous ships in the polar region
sea ice warning
radar image fusion
ice radar
spellingShingle autonomous ships in the polar region
sea ice warning
radar image fusion
ice radar
Tsung-Hsuan Hsieh
Bo Li
Shengzheng Wang
Wei Liu
Application of Radar Image Fusion Method to Near-Field Sea Ice Warning for Autonomous Ships in the Polar Region
topic_facet autonomous ships in the polar region
sea ice warning
radar image fusion
ice radar
description Mastering the real-time dynamics of near-field sea ice is the primary condition to guaranteeing the navigation safety of autonomous ships in the polar region. In this study, a radar image fusion process combining marine radar and ice radar is proposed, which can effectively solve the problems of redundant information and spatial registration during image fusion. Then, using the fused radar images, this study proposes a set of near-field sea ice risk assessment and warning processes applicable to both low- and high-sea-ice-concentration situations. The sea ice risk indexes in these two situations are constructed by using four variables: sea ice area, sea ice grayscale, distance between sea ice and the own-ship, and relative bearing of sea ice and the own-ship. Finally, visualization processing is carried out according to the size of the risk index values of each piece of sea ice to achieve a better near-field sea ice risk assessment and warning effect. According to the example demonstration results, through the radar image fusion process and the set of near-field sea ice risk assessment and warning processes proposed in this study, the sea ice risk distribution in the near-field area of the ship can be well obtained, which provides effective support for the assisted decision-making of autonomous navigation in the polar region.
format Text
author Tsung-Hsuan Hsieh
Bo Li
Shengzheng Wang
Wei Liu
author_facet Tsung-Hsuan Hsieh
Bo Li
Shengzheng Wang
Wei Liu
author_sort Tsung-Hsuan Hsieh
title Application of Radar Image Fusion Method to Near-Field Sea Ice Warning for Autonomous Ships in the Polar Region
title_short Application of Radar Image Fusion Method to Near-Field Sea Ice Warning for Autonomous Ships in the Polar Region
title_full Application of Radar Image Fusion Method to Near-Field Sea Ice Warning for Autonomous Ships in the Polar Region
title_fullStr Application of Radar Image Fusion Method to Near-Field Sea Ice Warning for Autonomous Ships in the Polar Region
title_full_unstemmed Application of Radar Image Fusion Method to Near-Field Sea Ice Warning for Autonomous Ships in the Polar Region
title_sort application of radar image fusion method to near-field sea ice warning for autonomous ships in the polar region
publisher Multidisciplinary Digital Publishing Institute
publishDate 2022
url https://doi.org/10.3390/jmse10030421
op_coverage agris
genre Sea ice
genre_facet Sea ice
op_source Journal of Marine Science and Engineering; Volume 10; Issue 3; Pages: 421
op_relation Ocean Engineering
https://dx.doi.org/10.3390/jmse10030421
op_rights https://creativecommons.org/licenses/by/4.0/
op_doi https://doi.org/10.3390/jmse10030421
container_title Journal of Marine Science and Engineering
container_volume 10
container_issue 3
container_start_page 421
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