Infrared polarimetry for surface spill detection has been an emerging sensing modality for the last several years. Polarimetric imagery leverages the polarization signature differences between surface slicks and water that are different from those that lead to thermal and visual signatures. Imaging of the polarization response of oil and water in a scene can lead to enhanced detection, with detection enhancement being most pronounced when the spill in a scene has the same apparent temperature as the background. The detection limit for oil thickness is around 50 micrometers or greater which corresponds to thickness of floating oil that is recoverable. The technique is also effective on sand when the oil is pooling. The sensing improvement offers the promise of automated detection of oil spills and leaks for routine monitoring and accidents with the added benefit of being able to continue monitoring at night.
The sensor is based on a DoFP architecture implemented in a microbolometer. Basic performance specifications and examples of several use cases will be given.
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