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

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 2...

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Detalles Bibliográficos
Autores principales: Liu, Peng, Li, Ying, Xu, Jin, Zhu, Xueyuan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676762/
https://www.ncbi.nlm.nih.gov/pubmed/29036892
http://dx.doi.org/10.3390/s17102349
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author Liu, Peng
Li, Ying
Xu, Jin
Zhu, Xueyuan
author_facet Liu, Peng
Li, Ying
Xu, Jin
Zhu, Xueyuan
author_sort Liu, Peng
collection PubMed
description 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.
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spelling pubmed-56767622017-11-17 Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments Liu, Peng Li, Ying Xu, Jin Zhu, Xueyuan Sensors (Basel) Article 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. MDPI 2017-10-14 /pmc/articles/PMC5676762/ /pubmed/29036892 http://dx.doi.org/10.3390/s17102349 Text en © 2017 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Liu, Peng
Li, Ying
Xu, Jin
Zhu, Xueyuan
Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments
title Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments
title_full Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments
title_fullStr Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments
title_full_unstemmed Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments
title_short Adaptive Enhancement of X-Band Marine Radar Imagery to Detect Oil Spill Segments
title_sort adaptive enhancement of x-band marine radar imagery to detect oil spill segments
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5676762/
https://www.ncbi.nlm.nih.gov/pubmed/29036892
http://dx.doi.org/10.3390/s17102349
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