Journal
JOURNAL OF MARINE SCIENCE AND ENGINEERING
Volume 9, Issue 1, Pages -Publisher
MDPI
DOI: 10.3390/jmse9010065
Keywords
oil spill; LBP; K-means; shipborne radar; remote sensing; oil pollution; image analysis; machine learning; radar detection
Categories
Funding
- National Natural Science Foundation of China [51709031, 51979045]
- Fundamental Research Funds for the Central Universities [3132019138]
- Innovation Support Project of Dalian [2018RQ22]
- Enterprise-university-research Cooperation Project of the Ministry of Education of China [201702043016]
- Special projects in key fields (Artificial Intelligence) of Universities in Guangdong Province [2019KZDZX1035]
- program for scientific research start-up funds of Guangdong Ocean University
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Oil spill accidents have caused serious harm to the marine environment. This paper proposes a method for automatically detecting oil spills in shipborne radar images using LBP texture feature and K-means algorithm. This method can provide a guarantee for real-time monitoring of oil spill accidents.
Oil spill accidents have seriously harmed the marine environment. Effective oil spill monitoring can provide strong scientific and technological support for emergency response of law enforcement departments. Shipborne radar can be used to monitor oil spills immediately after the accident. In this paper, the original shipborne radar image collected by the teaching-practice ship Yukun of Dalian Maritime University during the oil spill accident of Dalian on 16 July 2010 was taken as the research data, and an oil spill detection method was proposed by using LBP texture feature and K-means algorithm. First, Laplacian operator, Otsu algorithm, and mean filter were used to suppress the co-frequency interference noises and high brightness pixels. Then the gray intensity correction matrix was used to reduce image nonuniformity. Next, using LBP texture feature and K-means clustering algorithm, the effective oil spill regions were extracted. Finally, the adaptive threshold was applied to identify the oil films. This method can automatically detect oil spills in shipborne radar image. It can provide a guarantee for real-time monitoring of oil spill accidents.
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