Long-Wave Infrared Polarization-Based Airborne Marine Oil Spill Detection and Identification Technology
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Published:2023-05-18
Issue:5
Volume:10
Page:588
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ISSN:2304-6732
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Container-title:Photonics
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language:en
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Short-container-title:Photonics
Author:
Sun Hongyu1, Ma Lianji1, Fu Qiang1, Li Yingchao1, Shi Haodong1, Liu Zhuang1, Liu Jianan1, Wang Jiayu1ORCID, Jiang Huilin1
Affiliation:
1. National and Local Joint Engineering Research Center of Space Optoelectronics Technology, Changchun University of Science and Technology, Changchun 130022, China
Abstract
In this paper, infrared polarization detection information acquisition technology is proposed, and the polarization characteristics of oil spills are modeled and studied. A set of long-wave infrared polarization detection equipment for oil spills is designed and built, and modeling research on oil spill polarization characteristics is carried out to accurately detect and identify oil spill types and for the faster processing of oil spill events. Oil spill accuracy is increased by defining the polarization maintenance method of the polarization optical system and reducing the polarization measurement error brought on by the imaging system. As a result, a higher than 3% contrast exists between the polarization degree image and the corrected infrared intensity image. Outdoor tests using oil, palm oil, crude oil, gasoline, and diesel oil spill types are carried out in a controlled environment to collect data on the polarization of various oil species. According to the findings, each oil species’ infrared polarization contrast with seawater is typically greater than its infrared intensity contrast. However, the polarization data of saltwater, diesel, and palm oil, which are difficult to identify in intensity data, show a noticeable difference, further proving the viability of utilizing polarization to discern oil spills.
Funder
National Natural Science Foundation of China
Subject
Radiology, Nuclear Medicine and imaging,Instrumentation,Atomic and Molecular Physics, and Optics
Reference32 articles.
1. Offshore oil spill response practices and emerging challenges;Li;Mar. Pollut. Bull.,2016 2. Lacava, T., Ciancia, E., Coviello, I., Di Polito, C., Grimaldi, C.S.L., Pergola, N., Satriano, V., Temimi, M., Zhao, J., and Tramutoli, V. (2017). A MODIS-based robust satellite technique (RST) for timely detection of oil spilled areas. Remote Sens., 9. 3. Lei, F., Wang, W., Zhang, W., Li, K., and Xu, Z. (August, January 28). Oil spills tracking through texture analysis from modis imagery. Proceedings of the IGARSS 2019–2019 IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan. 4. Classification of oil spill by thicknesses using multiple remote sensors;Staples;Remote Sens. Environ.,2019 5. Analysis of infrared polarization properties of targets with rough surfaces;Shi;Opt. Laser Technol.,2022
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