Noise correlation-based adaptive polarimetric image representation for contrast enhancement of a polarized beacon in fog - Université de Rennes Access content directly
Conference Papers Year : 2015

Noise correlation-based adaptive polarimetric image representation for contrast enhancement of a polarized beacon in fog

Swapnesh Panigrahi
Julien Fade
Mehdi Alouini

Abstract

We show the use of a simplified snapshot polarimetric camera along with an adaptive image processing for optimal detection of a polarized light beacon through fog. The adaptive representation is derived using theoretical noise analysis of the data at hand and is shown to be optimal in the Maximum likelihood sense. We report that the contrast enhancing optimal representation that depends on the background noise correlation differs in general from standard representations like polarimetric difference image or polarization filtered image. Lastly, we discuss a detection strategy to reduce the false positive counts
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Dates and versions

hal-01275557 , version 1 (17-02-2016)

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Swapnesh Panigrahi, Julien Fade, Mehdi Alouini. Noise correlation-based adaptive polarimetric image representation for contrast enhancement of a polarized beacon in fog. Image and Signal Processing for Remote Sensing XXI, 96430C (October 15, 2015), 2015, Toulouse, France. pp.96430C--96430C--7, ⟨10.1117/12.2195216⟩. ⟨hal-01275557⟩
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