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Research on identification of marine oil spill based on thermal infrared video image monitoring
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Lifeng Wang1, Liping Xin1, *, Jiashuo Liu1, Lian Ju2, 3
Haiyang Xuebao | 2022, 44(5) : 148 - 160
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Haiyang Xuebao | 2022, 44(5): 148-160
• Article •
Research on identification of marine oil spill based on thermal infrared video image monitoring
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Lifeng Wang1, Liping Xin1, *, Jiashuo Liu1, Lian Ju2, 3
Affiliations
  • 1. School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
  • 2. Environment Monitoring Center, State Oceanic Administration, Qingdao 266033, China
  • 3. Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Reduction, Qingdao 266033, China
Published: 2022-05-01 doi: 10.12284/hyxb2022063
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When oil spill occurs and the large scale covering on the sea surface has not been formed, it is hard to find oil film by existing oil spill detection technology. To solve this problem, a novel method for discriminating of oil spill by monitoring the area of oil film is presented based on thermal infrared video image, which combined with the diffusion characteristic of oil spill. Firstly, foreground regions (real oil film region and look-alikes interference region) on the sea surface are extracted and the actual physical area of each region is calculated based on single-frame thermal infrared image processing (i.e., the pixel area calculation method from the previous research). According to the video image processing, the change of the actual physical area of each region is tracked in real-time. The area change rate threshold is set to discriminate whether oil film on the foreground regions, then whether oil spill happened can be determined. The experimental results show that the proposed method can effectively discriminate oil film formed by different viscosity of oil and maintain good identification accuracy under sea surface with waves and floating objects. This strategy is suitable for specific scenes such as wharves and ships, and also can provide technical support for pollution control of oil spill.

oil spill identification  /  thermal infrared video image  /  image processing  /  inter-frame region tracking
Lifeng Wang, Liping Xin, Jiashuo Liu, Lian Ju. Research on identification of marine oil spill based on thermal infrared video image monitoring[J]. Haiyang Xuebao, 2022 , 44 (5) : 148 -160 . DOI: 10.12284/hyxb2022063
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Year 2022 volume 44 Issue 5
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Article Info
doi: 10.12284/hyxb2022063
  • Receive Date：2020-12-17
  • Online Date：2026-02-01
  • Published：2022-05-01
Article Data
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History
  • Received：2020-12-17
  • Revised：2021-11-13
Funding
Affiliations
    1. School of Information and Control Engineering, Qingdao University of Technology, Qingdao 266520, China
    2. Environment Monitoring Center, State Oceanic Administration, Qingdao 266033, China
    3. Shandong Provincial Key Laboratory of Marine Ecological Environment and Disaster Prevention and Reduction, Qingdao 266033, China
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表12种不同金属材料的力学参数
科
Family		 属数
Number of
genus		 种数
Number of
species		 占总种数比例
Percentage of
total species (%)		 属
Genus		 种数
Number of
species		 占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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