Modeling and simulation analysis of long-wave infrared polarization of ship wakes on the sea surface based on the microfacet model
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摘要:
针对复杂海况下舰船尾迹红外探测需求,提出基于微面元模型的动态舰船尾迹红外偏振特性分析方法,构建了复杂海面背景的尾迹红外偏振效应解析模型,基于P-M海谱模型与开尔文尾迹模型,引入微面元双向反射分布函数,分析了动态海面背景下舰船尾迹红外偏振特性规律,掌握了航速、吃水深度、风速和风向等参数对尾迹红外偏振度、偏振角、对比度等特性的影响。其中,尾迹红外偏振度图像的平均对比度较传统强度图像提升159%,偏振角图像提升258%。采用数学仿真与计算流体力学仿真相对比的方法对尾迹红外偏振效应解析模型进行验证,结果相似度优于95.7%,将尾迹实拍图与仿真结果进行对比,二者具有较高相似度,验证了该模型对于海面背景下舰船尾迹红外偏振特性仿真分析的有效性。本研究为复杂海况下舰船高精度、抗干扰探测与识别提供了重要的理论基础。
Abstract:Addressing the requirement for infrared detection of ship wakes under complex sea conditions, a method for analyzing the dynamic infrared polarization characteristics of ship wakes based on the microfacet model is proposed. An analytical model for the infrared polarization effects of wakes against a complex sea surface background is constructed. Based on the P-M sea spectrum model and the Kelvin wake model, the microfacet bidirectional reflectance distribution function is introduced to analyze the infrared polarization characteristics of ship wakes under dynamic sea surface backgrounds. The influence of parameters such as ship speed, draught, wind speed, and wind direction on the wake's infrared polarization characteristics, including the degree of polarization (DOP), angle of polarization (AOP), and contrast, is investigated. Notably, the average contrast of the wake's infrared DOP image is improved by 159% compared to traditional intensity images, and the AOP image shows an improvement of 258%. The analytical model for wake infrared polarization effects is validated by comparing mathematical simulations with computational fluid dynamics simulations, achieving a similarity of over 95.7%. A comparison between actual captured wake images and simulation results shows high similarity, confirming the effectiveness of the proposed model for simulating and analyzing the infrared polarization characteristics of ship wakes against a sea background. This study provides an important theoretical foundation for high-precision, anti-interference detection and identification of ships under complex sea conditions.
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Key words:
- ship wakes /
- infrared polarization /
- Stokes vector /
- polarization simulation
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表 1 仿真图像评价函数计算结果
Table 1. Calculation Results of Evaluation Functions for Simulated Images
Types of Evaluation Functions Bhattacharyya Coefficient Pearson Correlation Coefficient Histogram Intersection Coefficient Chi-Square Coefficient Similarity Infrared Original Image 0.992 0.999 0.988 0.971 0.988 Infrared DOLP Image 0.989 0.995 0.981 0.946 0.978 Infrared AOP Image 0.976 0.981 0.961 0.911 0.957 -
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