根据PG-BM模型,机场跑道的长波红外极化特征在的目标中基于PG-BM模型
Optics express
|December 19, 2025
概括
这项研究增强了雾中的机场跑道的长波红外极化模型,改善了目标感知. 新模型准确地捕捉了材料反射率和散射,这对航空安全至关重要.
科学领域:
- 光学和光子学 在光学和光子学.
- 遥感 遥感 遥感 遥感
- 材料科学 材料科学 材料科学
背景情况:
- 雾显著降低了机场跑道的可见性和可见光谱中的目标检测.
- 现有的长波红外双向偏振分布函数 (BPDF) 模型在与大角度反射和环境散射作斗争.
- 长波红外光谱中的极化特征有可能在恶劣天气下改善跑道感知.
研究的目的:
- 开发和验证一个改进的半实证BPDF模型,用于模糊条件下的机场跑道材料.
- 在不同温度和角度下研究常见跑道材料的长波红外极化特性.
- 提高用于航空安全和遥感应用的偏振模型的准确性.
主要方法:
- 改进了一种半实证的BPDF模型,集成反射,散射和辐射特性,基于PG和修改的BM框架.
- 构建了一个实验性雾环境平台,用于对水泥,,氧得烯和烯树脂进行极度测量.
- 利用基因算法进行参数逆转,并通过实际跑道上的实地测试验验证结果.
主要成果:
- 改进的模型在模糊条件下表现出卓越的性能,根平均平方误差 (RMSE) 为0.0430,优于传统模型.
- 线性极化度 (DoLP) 显示了不同材料的独特模式,在特定的视图顶点和相对的近视角上达到顶峰.
- 模型准确度的提高达到30.59%,确定系数 (R2) 为0.92,现场验证的信心为83.93%.
结论:
- 改进的BPDF模型有效地解决了用于雾的机场跑道材料的传统模型的局限性.
- 长波红外光谱中的极化特征为改善跑道可见性和目标检测提供了宝贵的信息.
- 经过验证的模型为在低可见度环境中加强航空安全和监控系统提供了重大潜力.
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