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Acquisition et extraction d'information des images polarimétriques actives.

Abstract : OSC ("Orthogonal State Contrast"imaging is an active polarimetric imaging mode which consists in illuminating the scene with a totally polarized light and analyzing the backscattered light along two orthogonal states of polarization. It reveals contrasts which are not present in conventional intensity images. It arouses a great interest in several domains such as remote sensing, biomedical imaging or vision through diffusive medium. The objective of this thesis was to design an OSC imaging system and to characterize its performance in terms of acquisition capabilities and signal processing. We designed and tested a simple robust setup which is able to acquire simultaneously both orthogonal states of polarization. This architecture reaches the fundamental limits set by detector noise, photon shot noise or spatial and temporal non-uniformity of th illuminaiton. We demonstrated experimentally its benefit when imaging moving targets or imaging through turbulent medium. In order to characterize the performance of this imaging mode, we determine estimation algorithm depending on the predominant type of noise and compare their precision to the Cramer- Rao lower bound. We then studied the performance for target detection as a function of the non-uniformity of the illumination. Finally, we studied the maximization of contrast in scalar polarimetric images. We proposed a method which simultaneously optimizes the states of polarization of the illumination and the reception. This is an interesting perspective for Mueller imagers improvement.
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Contributor : Arnaud Bénière Connect in order to contact the contributor
Submitted on : Friday, September 17, 2010 - 7:55:35 PM
Last modification on : Sunday, June 26, 2022 - 11:52:15 AM
Long-term archiving on: : Saturday, December 18, 2010 - 2:50:51 AM


  • HAL Id : tel-00483072, version 2



Arnaud Bénière. Acquisition et extraction d'information des images polarimétriques actives.. Physique [physics]. Université Paris Sud - Paris XI, 2009. Français. ⟨tel-00483072v2⟩



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