| Literature DB >> 33816941 |
Jin Xu1,2, Baozhu Jia1, Xinxiang Pan1,3, Ronghui Li1, Liang Cao1, Can Cui4, Haixia Wang2, Bo Li1,5.
Abstract
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. ©2020 Xu et al.Entities:
Keywords: Electronic navigation chart; Information fusion; Oil spill; Shipborne radar
Year: 2020 PMID: 33816941 PMCID: PMC7924651 DOI: 10.7717/peerj-cs.290
Source DB: PubMed Journal: PeerJ Comput Sci ISSN: 2376-5992