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Academic Journal of Engineering and Technology Science, 2024, 7(4); doi: 10.25236/AJETS.2024.070410.

Marine oil spill monitoring based on SAR technology

Author(s)

Renqiang Wang, Dawei Chen, Jianming Sun, Changhua Liu

Corresponding Author:
Renqiang Wang
Affiliation(s)

College of Navigation, Jiangsu Maritime Institute, Nanjing, China

Abstract

Because of the devastating damage of oil spills to the marine ecosystem, it is necessary to monitor the sea surface round-the-clock and round-the-clock, however, the current oil spill monitoring system has some disadvantages, such as small monitoring range, limited monitoring time and high cost. In this paper, an oil spill monitoring system based on synthetic aperture radar is constructed. The principle of oil film imaging, image interpretation and the performance of the system are studied, the system can not only monitor the sea surface all day and all day, but also distinguish oil film types and estimate oil film characteristics. The maximum detection rate can reach about 91%.

Keywords

Marine oil spill, SAR, Remote sensing technique, Monitoring

Cite This Paper

Renqiang Wang, Dawei Chen, Jianming Sun, Changhua Liu. Marine oil spill monitoring based on SAR technology. Academic Journal of Engineering and Technology Science (2024) Vol. 7, Issue 4: 65-71. https://doi.org/10.25236/AJETS.2024.070410.

References

[1] Zhang Guo. Design and implementation of near-sea oil spill monitoring system [D]. Xidian University, 2018.

[2] Li Jing, Che Ying, Li Shu, et al. Laser radar monitoring sea oil spill remote sensing theory [J]. Electronic test, 2020 (9): 60-61. 

[3] SHI Li-jian. Study on oil spill monitoring methods based on SAR and MODIS data [D]. Ocean University of China, 2008. 

[4] Lu Huimin. The surface of the oil spill of hyperspectral remote sensing solution blending and recognition research [D]. Dalian maritime university, 2023. 

[5] Chen Han, Xie Tao, Xu Hui, et al. Comparative research on oil spill identification methods based on TM remote sensing image [J]. Journal of Wuhan University of Technology (Information and Management Engineering), 2019, 41(03): 305-311. 

[6] Wan Liuyang, Zeng Kan, He Mingxia. The role of Fourier spectrum characteristic parameter subset in SAR automatic monitoring of offshore oil spill [J]. Bulletin of Oceanology and Limnology, 2019, (06): 1-12. 

[7] YU Qiu-ze.Research on synthetic aperture radar (SAR) image matching for navigation[D]. Huazhong University of Science and Technology, 2004. 

[8] NIU Ying.Research on oil spill monitoring by spaceborne SAR with texture[D]. Dalian Maritime University, 2009. 

[9] WU Xiaodan, SONG Jinming, LI Xuegang, YUAN Huamao, LI Ning. Technical Methods for Marine Oil Spill Quantity Capture [J]. Ocean Technology, 2011, 30(02): 50-54+58. 

[10] CHEN Yantong, LI Yuyang, LV Shili, WANG Junsheng. Research on oil spill monitoring of multi-source remote sensing image based on deep semantic segmentation[J]. Optics and Precision Engineering, 2020, 28(05): 1165-1176. 

[11] SHI Li-jian.Study on oil spill monitoring methods based on SAR and MODIS data[D]. Ocean University of China, 2008. 

[12] JIANG Xu-hui, ZHANG Han-de, DONG Liang, et al. Application of airborne SAR in sea ice aerial monitoring [J]. Ocean Development and Management, 2014, 31(05): 44-47. 

[13] QIN Rui, YAN Ling, CHEN Zi-jian. Design and simulation of UAV oil spill tracking and monitoring system [J]. Marine Science Bulletin, 2021, 40(06): 709-715.