利用图像静态估计夜雾气象能见度距离

Romain Gallen, N. Hautière, E. Dumont
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引用次数: 11

摘要

本文提出了一种基于前向散射的雾分类估计夜间雾消的新方法。我们表明,仅基于大气消光参数的雾的表征是不够的。该方法适用于浓雾(气象能见度< 400米),使用单幅图像和三个已知光源。用半蒙特卡罗光线追踪软件生成的合成图像对该方法进行了验证。我们在模拟环境中进行这项研究,以帮助我们设计一个位于室外的测试场地。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Static Estimation of the Meteorological Visibility Distance in Night Fog with Imagery
In this paper, we propose a new way to estimate fog extinction at night using a classification of fog depending on the forward scattering. We show that a characterization of fog based on the atmospheric extinction parameter only is not sufficient. This method works in dense fogs (meteorological visibility distances < 400m) with a single image and three known light sources. The method is validated on synthetic images generated with a semi Monte-Carlo ray tracing software dedicated to fog simulation. We drove this study in simulated environment in order to help us designing a test site located outdoor.
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