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Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart
Author(s) -
Jin Xu,
Baozhu Jia,
Xinxiang Pan,
Ronghui Li,
Liang Cao,
Can Cui,
Haixia Wang,
Bo Li
Publication year - 2020
Publication title -
peerj computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.806
H-Index - 24
ISSN - 2376-5992
DOI - 10.7717/peerj-cs.290
Subject(s) - radar , computer science , remote sensing , hydrography , computer vision , radar imaging , artificial intelligence , radar engineering details , geography , telecommunications , cartography
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.

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