提出一种基于双光源方法和曲线演化理论的夜间能见度反演算法。 首先从双光源夜间能见度观测的特点出发, 分析了目标物亮度变化情况与特征演化曲线之间的相互关系。 接着引入水平集方法同时定义多个目标物亮度特征, 建立了水平集函数与能见度反演的关系模型, 并给出了算法的具体表达式。 实验结果表明, 反演算法具有很强鲁棒性, 在2 000～12 000 m观测范围内能见度反演值与标准能见度值的相关性均大于0.98, 可以用于对夜间能见度远距离、 高精度的观测。

In the present paper, we propose a novel night visibility inversion algorithm. The key idea is based on the curve evolution theory in the context of dual light sources. First, we describe the features of the dual light sources night visibility inversion method, and explain the relationship between fluctuation of light source intensity and curve evolution with the special characters. Then, level set method is introduced ito define the light source intensity and establish the model with visibility inversion, and the algorithm formula is detailed. Experiments results show that, the algorithm is characterized with a strong robustness and compared with the standard visibility, the correlation of visibility result reaches up to 0.98 in the range of 2 000 meter to 12 000 meter, which can be used in the visibility monitoring with a large range, high precision and strong robustness.