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基于大气散射模型的机场雾图定量化模拟方法OACSTPCD

Quantitative Simulation Method of Aerodrome Fog Images Based on Atmospheric Scattering Model

中文摘要英文摘要

雾天低能见度给机场运行安全和运行效率带来了极大威胁,低能见度下的目标识别在监控机场运行并确保其安全和效率方面发挥着至关重要的作用,然而机场低能见度图像的获取具有随机性.论文提出了一种基于大气散射模型的机场雾图定量化模拟方法,通过曲线拟合建立大气散射模型中大气散射系数与机场图像能见度的函数映射关系,实现基于能见度对机场雾图进行定量化模拟,利用机场实测数据训练了一个用于机场雾图能见度检测的神经网络来验证该方法的准确性.实验和仿真结果表明,该方法模拟的机场雾图能见度与能见度检测值的平均相对误差小于3%,可实现对机场雾图进行定量化模拟,为解决定量能见度的机场雾图获取问题提供参考方案.

Low visibility in foggy weather poses a great threat to airport operation safety and efficiency,target recognition in low visibility scenarios plays a vital role in monitoring airport operations and ensuring their safety and efficiency.However,the ac-quisition of airport images with low visibility is random.In this paper,a quantitative simulation method of aerodrome fog images based on atmospheric scattering model is proposed,the function mapping relationship between the atmospheric scattering coefficient and the visibility of the airport image is established by curve fitting to realize the quantitative simulation of the airport fog image based on the visibility.The accuracy of the method is verified by training a neural network for visibility detection of airport fog imag-es using the measured airport data.The experimental and simulation results show that the average relative error between the visibili-ty of the airport fog map simulated by this method and the visibility detected by neural network is less than 3%,which can realize the quantitative simulation of the airport fog map and provide a reference for solving the problem of obtaining the airport fog map with quantitative visibility.

周睿;孟双杰;李明;邱爽

中国民用航空飞行学院空中交通管理学院 广汉 618307

计算机与自动化

图像加雾大气散射模型曲线拟合能见度

fog images simulationatmospheric scattering modelcurve fittingvisibility

《舰船电子工程》 2024 (001)

99-104 / 6

四川省科技厅重点研发项目(编号:2020YFG0446);中国民用航空飞行学院科研基金项目(编号:J2022-056)资助.

10.3969/j.issn.1672-9730.2024.01.020

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