旋光法
薄雾
快照(计算机存储)
计算机科学
遥感
计算机视觉
极化(电化学)
对比度(视觉)
人工智能
气象学
光学
地质学
物理
散射
化学
物理化学
操作系统
作者
Swapnesh Panigrahi,Julien Fade,Mehdi Alouini
摘要
Optimally enhanced vision of a polarized lightmark in obscured weather conditions (fog, haze, cloud) is reported when imaged over long distances (above 1 km) using a snapshot polarimetric camera. We derive and experimentally validate an optimal adaptive polarimetric representation, whose expression is shown to depend on the correlation of the noise fluctuations in the two orthogonal polarimetric images. We quantitatively compare the gain (experimental and theoretical) in contrast with respect to standard intensity imaging, and standard polarimetric representations. Lastly, we discuss efficient implementation strategies for automated detection in real-time in obscured weather conditions.
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