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Open AccessArticle

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

Environmental Information Institute of Navigation College, Dalian Maritime University, Dalian 116026, China
Author to whom correspondence should be addressed.
Sensors 2017, 17(10), 2349;
Received: 12 September 2017 / Revised: 10 October 2017 / Accepted: 11 October 2017 / Published: 14 October 2017
(This article belongs to the Special Issue Sensors for Oil Applications)
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. View Full-Text
Keywords: X-band marine radar; oil spill detection; adaptive algorithm X-band marine radar; oil spill detection; adaptive algorithm
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MDPI and ACS Style

Liu, P.; Li, Y.; Xu, J.; Zhu, X. Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments. Sensors 2017, 17, 2349.

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