2010
DOI: 10.1364/josaa.28.000046
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When is polarimetric imaging preferable to intensity imaging for target detection?

Abstract: We consider target detection in images perturbed with additive noise. We determine the conditions in which polarimetric imaging, which consists of analyzing of the polarization of the light scattered by the scene before forming the image, yields better performance than classical intensity imaging. These results give important information to assess the interest of polarimetric imaging in a given application.

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Cited by 53 publications
(24 citation statements)
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“…Those have to be totally depolarized (i.e., unpolarized illumination/intensity imaging), or totally polarized (i.e., polarized illumination/polarimetric imaging). One can note that this conclusion is similar to that obtained in the case when the signal is disturbed by additive Gaussian noise [10].…”
Section: Unpolarized Illumination/intensity Imaging (Ui Configuration)supporting
confidence: 86%
See 1 more Smart Citation
“…Those have to be totally depolarized (i.e., unpolarized illumination/intensity imaging), or totally polarized (i.e., polarized illumination/polarimetric imaging). One can note that this conclusion is similar to that obtained in the case when the signal is disturbed by additive Gaussian noise [10].…”
Section: Unpolarized Illumination/intensity Imaging (Ui Configuration)supporting
confidence: 86%
“…This will make it possible to determine for which scene parameters polarization imaging is preferable to standard intensity imaging, or active polarimetric imaging is preferable to passive polarization imaging. This issue has already been addressed in cases where the dominant source of noise is additive Gaussian [10], but it is the first time, to the best of our knowledge, that it is investigated in the presence of Poisson shot noise. Finally, the conclusions will be validated on simulated and real examples that show the importance to choose effectively the polarization states in illumination and analysis.…”
Section: Introductionmentioning
confidence: 99%
“…Hoover and his coworkers [14,15] have demonstrated that reduced dimensionality subspaces of Mueller matrix space can be used to perform invariant target detection through nonlinear model fitting. Goudail and his coworkers [16][17][18] have demonstrated that a singlemeasurement pMMP is optimal for maximizing contrast in a two-class detection problem with known class Mueller matrices.…”
Section: Introductionmentioning
confidence: 99%
“…(5). In Mueller polarimetry, in order to achieve optimal performance, one tries to make the DOP of the Stokes vectors generated by the PSG and PSA as close to 1 as possible [15]. If the extinction ratio of the linear polarizer in the PSG and PSA is high, the DOP of the generated states can be very close to 1.…”
mentioning
confidence: 99%