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Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart
Shipborne radars cannot only enable navigation and collision avoidance but also play an important role in the fields of hydrographic data inspection and disaster monitoring. In this paper, target extraction methods for oil films, ships and coastlines from original shipborne radar images are proposed...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
PeerJ Inc.
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924651/ https://www.ncbi.nlm.nih.gov/pubmed/33816941 http://dx.doi.org/10.7717/peerj-cs.290 |
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author | Xu, Jin Jia, Baozhu Pan, Xinxiang Li, Ronghui Cao, Liang Cui, Can Wang, Haixia Li, Bo |
author_facet | Xu, Jin Jia, Baozhu Pan, Xinxiang Li, Ronghui Cao, Liang Cui, Can Wang, Haixia Li, Bo |
author_sort | Xu, Jin |
collection | PubMed |
description | Shipborne radars cannot only enable navigation and collision avoidance but also play an important role in the fields of hydrographic data inspection and disaster monitoring. In this paper, target extraction methods for oil films, ships and coastlines from original shipborne radar images are proposed. First, the shipborne radar video images are acquired by a signal acquisition card. Second, based on remote sensing image processing technology, the radar images are preprocessed, and the contours of the targets are extracted. Then, the targets identified in the radar images are integrated into an electronic navigation chart (ENC) by a geographic information system. The experiments show that the proposed target segmentation methods of shipborne radar images are effective. Using the geometric feature information of the targets identified in the shipborne radar images, information matching between radar images and ENC can be realized for hydrographic data inspection and disaster monitoring. |
format | Online Article Text |
id | pubmed-7924651 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | PeerJ Inc. |
record_format | MEDLINE/PubMed |
spelling | pubmed-79246512021-04-02 Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart Xu, Jin Jia, Baozhu Pan, Xinxiang Li, Ronghui Cao, Liang Cui, Can Wang, Haixia Li, Bo PeerJ Comput Sci Computer Vision Shipborne radars cannot only enable navigation and collision avoidance but also play an important role in the fields of hydrographic data inspection and disaster monitoring. In this paper, target extraction methods for oil films, ships and coastlines from original shipborne radar images are proposed. First, the shipborne radar video images are acquired by a signal acquisition card. Second, based on remote sensing image processing technology, the radar images are preprocessed, and the contours of the targets are extracted. Then, the targets identified in the radar images are integrated into an electronic navigation chart (ENC) by a geographic information system. The experiments show that the proposed target segmentation methods of shipborne radar images are effective. Using the geometric feature information of the targets identified in the shipborne radar images, information matching between radar images and ENC can be realized for hydrographic data inspection and disaster monitoring. PeerJ Inc. 2020-09-14 /pmc/articles/PMC7924651/ /pubmed/33816941 http://dx.doi.org/10.7717/peerj-cs.290 Text en ©2020 Xu et al. https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited. |
spellingShingle | Computer Vision Xu, Jin Jia, Baozhu Pan, Xinxiang Li, Ronghui Cao, Liang Cui, Can Wang, Haixia Li, Bo Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart |
title | Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart |
title_full | Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart |
title_fullStr | Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart |
title_full_unstemmed | Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart |
title_short | Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart |
title_sort | hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart |
topic | Computer Vision |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7924651/ https://www.ncbi.nlm.nih.gov/pubmed/33816941 http://dx.doi.org/10.7717/peerj-cs.290 |
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