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DOI | 10.1016/j.rse.2021.112375 |
A novel technique for ship wake detection from optical images | |
Liu Y.; Zhao J.; Qin Y. | |
发表日期 | 2021 |
ISSN | 00344257 |
卷号 | 258 |
英文摘要 | Monitoring ships at sea is of great importance for both civilian and military purposes. Since ship wakes are more distinct than hulls, wakes are widely employed for ship detection from satellite imagery. In this paper, a novel approach was proposed to detect ships from optical imagery. Candidate wakes were first obtained by the normalized Radon transform of an image with the ship hull in the center. False wakes were then removed by pixel value verification, turbulent wake identification, included angle verification, and contrast verification. Meanwhile, bright edges of turbulent wakes were detected after turbulent wake identification. Detected wakes were verified with wakes delineated through visual inspection. By implementing the proposed technique to optical imagery, reflectance at the near-infrared (NIR) band of GF 1 and Sentinel 2 MSI and the panchromatic band of Landsat 8 OLI showed the best accuracies. Total recalls of turbulent and Kelvin wakes were 93.5% and 91.2%, respectively, while total precisions were 93.7% and 93.8%, respectively. Positions, directions, and endpoints of wakes were also obtained with good accuracy. The categories of wakes were confirmed by the wake features and the spatial relationships between wakes. Factors influencing the accuracy of the developed method and comparison with state-of-the-art wake detection methods were then discussed. © 2021 Elsevier Inc. |
英文关键词 | Kelvin wake; Optical remote sensing; Radon transform; Ship wake detection; Turbulent wake |
语种 | 英语 |
scopus关键词 | Geometrical optics; Hulls (ship); Infrared devices; Satellite imagery; Near-infrared bands; Novel techniques; Optical imagery; Panchromatic bands; Radon Transform; Spatial relationships; State of the art; Visual inspection; Wakes; detection method; image analysis; reflectance; satellite imagery; Sentinel; spatial resolution; wake |
来源期刊 | Remote Sensing of Environment
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文献类型 | 期刊论文 |
条目标识符 | http://gcip.llas.ac.cn/handle/2XKMVOVA/178896 |
作者单位 | School of Marine Sciences, Sun Yat-sen University, Zhuhai, 519082, China; Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai, 519000, China; Pearl River Estuary Marine Ecosystem Research Station, Ministry of Education, Zhuhai, 519000, China; Guangdong Research Institute of Water Resources and Hydropower, Guangzhou, 510630, China |
推荐引用方式 GB/T 7714 | Liu Y.,Zhao J.,Qin Y.. A novel technique for ship wake detection from optical images[J],2021,258. |
APA | Liu Y.,Zhao J.,&Qin Y..(2021).A novel technique for ship wake detection from optical images.Remote Sensing of Environment,258. |
MLA | Liu Y.,et al."A novel technique for ship wake detection from optical images".Remote Sensing of Environment 258(2021). |
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