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Proceedings Paper

Noise correlation-based adaptive polarimetric image representation for contrast enhancement of a polarized beacon in fog
Author(s): Swapnesh Panigrahi; Julien Fade; Mehdi Alouini
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Paper 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.

Paper Details

Date Published: 15 October 2015
PDF: 7 pages
Proc. SPIE 9643, Image and Signal Processing for Remote Sensing XXI, 96430C (15 October 2015); doi: 10.1117/12.2195216
Show Author Affiliations
Swapnesh Panigrahi, Institut de Physique de Rennes, CNRS, Univ. de Rennes 1 (France)
Julien Fade, Institut de Physique de Rennes, CNRS, Univ. de Rennes 1 (France)
Mehdi Alouini, Institut de Physique de Rennes, CNRS, Univ. de Rennes 1 (France)


Published in SPIE Proceedings Vol. 9643:
Image and Signal Processing for Remote Sensing XXI
Lorenzo Bruzzone, Editor(s)

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