Improved spectral reflectance model of oil films on seawater based on two-beam interference theory

Author:

Zhang Zhenduo,Feng XiaojunORCID,Dong Shuang,Xie MingORCID,Li Wei,Li YingORCID

Abstract

The theoretical properties of electromagnetic transmission and radiation of light are combined with the propagation law of light in a uniform medium and the Fresnel formula to provide an improved two-beam interference model for simulating oil spills. This model enables the study of spectral reflectance under different thicknesses and different illumination angles. Through observation and analysis of simulation results, it is found that light waves reflected at the interface of water and oil films and of oil films and air oscillate due to interference. In order to overcome this problem, solar irradiance is simulated and multiplied with the reflection model to obtain the outgoing illuminance values at different wavelengths, which are convoluted with the slit function of the hyperspectral camera. The processed results are compared with incoming illuminance values to obtain new simulation results. In addition, based on portable hyperspectral imagery and imported xenon lamp light sources and other experimental equipment, indoor simulated oil spill experiments were conducted. By comparing and analyzing the results of these simulations, the accuracy of the improved model was further improved, demonstrating the feasibility and utility of the model in studying oil spills at water surfaces.

Funder

Liaoning Revitalization Talents Program

National Key Research and Development Program of China

Fundamental Research Funds for the Central Universities

Publisher

Optica Publishing Group

Subject

Atomic and Molecular Physics, and Optics,Engineering (miscellaneous),Electrical and Electronic Engineering

Reference21 articles.

1. Research on object-oriented decision fusion for oil spill detection on sea surface;Yang,2019

2. Unique oil spill in East China Sea frustrates scientists

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1. Passive optical remote sensing technology for oil spill detection;Oil Spill Detection, Identification, and Tracing;2024

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