Detection and identification of oil spill species based on polarization information

Hongyu Sun; Zhehao Zhao; Qiang Fu; Haodong Shi; Yingchao Li; Di Yang; Jianan Liu; Chao Wang; Huilin Jiang

doi:10.1371/journal.pone.0291553

Detection and identification of oil spill species based on polarization information

PLoS One. 2023 Nov 30;18(11):e0291553. doi: 10.1371/journal.pone.0291553. eCollection 2023.

Authors

Hongyu Sun¹, Zhehao Zhao¹, Qiang Fu², Haodong Shi², Yingchao Li², Di Yang³, Jianan Liu², Chao Wang², Huilin Jiang¹

Affiliations

¹ College of Opto-Electronic Engineering, Changchun University of Science and Technology, Changchun, China.
² Space Opto-Electronics Technology Institute, Changchun University of Science and Technology, Changchun, China.
³ Beijing Institute of Tracking and Telecommunication Technology, Beijing, China.

Abstract

Aiming at the problem of poor oil identification accuracy in existing oil spill detection technologies, the polarization degree model of oil spill on rough sea surface under different azimuths and zenith angles was established based on Fresnel theory. The analytical expressions of visible light polarization degree in calm and fluctuating water surface were derived respectively, and the polarization degree model of oil spill in reflection space was constructed. The effectiveness of the method and its influence on the polarization distribution of oil spill were analyzed by simulation. A portable turntable was designed to test the polarization characteristics of the experiment, and the visible light polarization detection experiment was carried out. The visible light polarization images of five typical oil spills at different observation azimuth and zenth angles were obtained. The differences in the polarization degrees of different oil species were analyzed, and the correctness of the theoretical model was proved by experiments. The polarization detection experiment of visible light pBRDF was completed, which more intuitively showed the variation law of the polarization characteristics of light reflected by different oil spills in different spatial positions. Using polarization information to distinguish oil species is a useful supplement to the traditional oil spill detection method and has important significance to improve the marine pollution control ability.

Copyright: © 2023 Sun et al. This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

MeSH terms

Computer Simulation
Environmental Monitoring / methods
Environmental Pollution
Models, Theoretical
Petroleum Pollution*
Water Pollutants, Chemical* / analysis

Substances

Water Pollutants, Chemical

Grants and funding

FuQiang cust_fuqiang@163.com National Natural Science Foundation, No. 61890963 No. 61890960 No. 62127813 The roles of funders in this paper are as follows: (1) Hongyu Sun is responsible for verification and writing - original draft; (2) Zhehao Zhao is responsible for data curation and software; (3) Qiang Fu is responsible for supervision and writing-review & editing; (4) Haodong Shi is responsible for formal analysis and investigation; (5) Yingchao Li is responsible for funding acquisition and project administration; (6) Di Yang is responsible for resources and conceptualization; (7) Jianan Liu is responsible for data curation and formal analysis; (8) Chao Wang is responsible for methodology and funding acquisition; (9) Huilin Jiang is responsible for visualization and supervision.