Proof and Application of Discriminating Ocean Oil Spills and Seawater Based on Polarization Ratio Using Quad-Polarization Synthetic Aperture Radar

Author:

Xie Tao1234ORCID,Ouyang Ruihang1,Perrie Will5ORCID,Zhao Li6,Zhang Xiaoyun1

Affiliation:

1. School of Remote Sensing & Geomatics Engineering, Nanjing University of Information Science and Technology, Nanjing 210044, China

2. Laboratory for Regional Oceanography and Numerical Modeling, Qingdao National Laboratory for Marine Science and Technology, Qingdao 266237, China

3. Technology Innovation Center for Integration Applications in Remote Sensing and Navigation, Ministry of Natural Resources, Nanjing 210044, China

4. Jiangsu Province Engineering Research Center of Collaborative Navigation, Positioning and Smart Application, Nanjing 210044, China

5. Fisheries & Oceans Canada, Bedford Institute of Oceanography, Dartmouth, NS B2Y 4A2, Canada

6. School of Marine Sciences, Nanjing University of Information Science and Technology, Nanjing 210044, China

Abstract

This paper focuses on the proof and application of discriminating between oil spills and seawater (including the “look-alikes”, named low wind areas) based on the polarization ratio. A new relative polarization ratio (PRr) method is proposed, which is based on the difference between the scattering mechanism and the dielectric constant for oil spills compared to that of seawater. The case study found that (1) PRr numerically amplifies the contrast between oil spills and seawater, reduces the difference between low wind areas and ordinary seawater, and exhibits better details of the image; (2) the threshold method based on Euclidean distance can obtain the highest classification overall accuracy within the allowable error range, and can be widely used in the study of different incidence angles and environmental conditions; and (3) the identification of oil spills and seawater by the proposed methods can largely avoid the misjudgment of low wind areas as oil spills. Considering visual interpretation as the reference ‘ground truth’, the overall classification accuracy of all cases is more than 95%; only the edge of the diffuse thin oil slick and oil–water mixture is difficult to identify. This method can serve as an effective supplement to existing oil spill detection methods.

Funder

National Natural Science Foundation of China project

Postgraduate Research & Practice Innovation Program of Jiangsu Province

National Key Research and Development Program of China

Natural Science Foundation of Jiangsu Province

Canadian Space Agency

Canada’s Ocean Frontier Institute

Marine Environmental Observation Prediction and Response (MEOPAR) network

Canada’s Competitive Science Research Fund

Publisher

MDPI AG

Subject

General Earth and Planetary Sciences

Reference44 articles.

1. Chronic oiling in global oceans;Dong;Science,2022

2. Comparative analysis of oil spill recognition based on TM remote sensing image;Chen;J. Wuhan Univ. Technol. (IAME),2019

3. Oil spill detection by satellite remote sensing;Brekke;Remote Sens. Environ.,2005

4. Li, H., Perrie, W., and Wu, J. (2019). Retrieval of oil–water mixture ratio at ocean surface using compact polarimetry synthetic aperture radar. Remote Sens., 11.

5. Progress in research on marine oil spills detection using synthetic aperture radar;Li;J. Electron. Inf. Technol.,2019

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