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.

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Simultaneous detection of the Stokes vector and Stokes images over a broad spectrum can be obtained from an achromatic division of amplitude imaging Stokes polarimeter 2 . This is done through the use of a combination of beamsplitters, prisms and achromatic retarders to split the light into four different paths in collimated space and analyze each beam. Once each beam is focused onto the four quadrants of the camera, the Stokes vector, Stokes images and the degree of polarization across the scene can be obtained through the manipulation of the intensities for each image.

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