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Hydrographic data inspection and disaster monitoring using shipborne radar small range images with electronic navigation chart
PeerJ Computer Science ( IF 3.8 ) Pub Date : 2020-09-14 , DOI: 10.7717/peerj-cs.290
Jin Xu 1, 2 , Baozhu Jia 1 , Xinxiang Pan 1, 3 , Ronghui Li 1 , Liang Cao 1 , Can Cui 4 , Haixia Wang 2 , Bo Li 1, 5
Affiliation  

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.

中文翻译:

使用舰载雷达小范围图像和电子导航图进行水文数据检查和灾害监测

船载雷达不仅能够导航和避免碰撞,而且在水文数据检查和灾害监测领域中也发挥着重要作用。本文提出了从舰载雷达原始图像中提取油膜,船舶和海岸线的目标的方法。首先,通过信号采集卡采集舰载雷达视频图像。其次,基于遥感图像处理技术,对雷达图像进行预处理,提取目标轮廓。然后,通过地理信息系统将雷达图像中标识的目标集成到电子导航图(ENC)中。实验表明,提出的舰载雷达图像目标分割方法是有效的。
更新日期:2020-09-14
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