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Real time polarimetric dehazing

机译:实时极化除雾

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Remote sensing is a rich topic due to its utility in gathering detailed accurate information from locations that are not economically feasible traveling destinations or are physically inaccessible. However, poor visibility over long path lengths is problematic for a variety of reasons. Haze induced by light scatter is one cause for poor visibility and is the focus of this article. Image haze comes about as a result of light scattering off particles and into the imaging path causing a haziness to appear on the image. Image processing using polarimetric information of light scatter can be used to mitigate image haze. An imaging polarimeter which provides the Stokes values in real time combined with a "dehazing" algorithm can automate image haze removal for instant applications. Example uses are to improve visual display providing on-the-spot detection or imbedding in an active control loop to improve viewing and tracking while on a moving platform. In addition, removing haze in this manner allows the trade space for a system operational waveband to be opened up to bands which are object matched and not necessarily restricted by scatter effects.
机译:由于遥感技术可用于从经济上不可行的旅行目的地或人迹罕至的地方收集详细的准确信息,因此遥感技术是一个很丰富的话题。然而,由于多种原因,长路径长度上的可见性差是个问题。光散射引起的雾霾是导致可见性差的原因之一,也是本文的重点。图像雾化是由于光从粒子散射并进入成像路径而造成的,从而在图像上出现雾度。使用光散射的偏振信息的图像处理可以用于减轻图像雾度。实时提供Stokes值的成像旋光仪与“除雾”算法相结合,可以自动去除图像雾度,以实现即时应用。示例用途是改善视觉显示,以提供现场检测或嵌入主动控制回路中,以改善在移动平台上时的观看和跟踪。另外,以这种方式去除雾度允许将系统操作波段的交易空间开放到对象匹配的波段,并且不必受到散射效应的限制。

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