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用于检测溢油区域的X波段海洋雷达图像自适应增强

Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments.

作者信息

Liu Peng, Li Ying, Xu Jin, Zhu Xueyuan

机构信息

Environmental Information Institute of Navigation College, Dalian Maritime University, Dalian 116026, China.

出版信息

Sensors (Basel). 2017 Oct 14;17(10):2349. doi: 10.3390/s17102349.

DOI:10.3390/s17102349
PMID:29036892
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5676762/
Abstract

Oil spills generate a large cost in environmental and economic terms. Their identification plays an important role in oil-spill response. We propose an oil spill detection method with improved adaptive enhancement on X-band marine radar systems. The radar images used in this paper were acquired on 21 July 2010, from the teaching-training ship "YUKUN" of the Dalian Maritime University. According to the shape characteristic of co-channel interference, two convolutional filters are used to detect the location of the interference, followed by a mean filter to erase the interference. Small objects, such as bright speckles, are taken as a mask in the radar image and improved by the Fields-of-Experts model. The region marked by strong reflected signals from the sea's surface is selected to identify oil spills. The selected region is subject to improved adaptive enhancement designed based on features of radar images. With the proposed adaptive enhancement technique, calculated oil spill detection is comparable to visual interpretation in accuracy.

摘要

石油泄漏在环境和经济方面造成了巨大成本。其识别在石油泄漏应对中起着重要作用。我们提出了一种在X波段海洋雷达系统上具有改进自适应增强功能的石油泄漏检测方法。本文中使用的雷达图像于2010年7月21日从大连海事大学的教学训练船“育鲲”号获取。根据同频道干扰的形状特征，使用两个卷积滤波器检测干扰位置，随后使用均值滤波器消除干扰。诸如亮斑等小物体在雷达图像中被用作掩码，并通过专家场模型进行改进。选择由海面强反射信号标记的区域来识别石油泄漏。所选区域基于雷达图像特征进行改进的自适应增强。使用所提出的自适应增强技术，计算得出的石油泄漏检测在准确性上与目视判读相当。

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Modelling oil plumes from subsurface spills.模拟地下溢油形成的油迹。
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