Calculation and analysis of Mueller matrix in light scattering detection

Yan, Keding; Wang, Shouyu; Jiang, Shuwen; Li, Xue; Song, Yuanyuan; Yan, Zhengang; Li, Zhenhua

doi:10.3788/col201412.092901

Cited by 6 publications

(2 citation statements)

References 20 publications

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“…Since only the V component could be applied to identify metals and dielectrics, which are also the highlight in this paper, here, we only analyze the V component in detail. The V component is obtained at a 45 degree linear polarization [46]:…”

Section: Scattering Contribution From Local Field Probability Density...mentioning

confidence: 99%

Full angular Stokes vectors of light scattering from two-dimensional randomly rough surfaces by Kirchhoff approximation method

Yan

Wang

Shu

et al. 2014

J. Opt.

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Light scattering from rough surfaces remains an important area of interest as it has great potential in a wide variety of fields such as polarized imaging and target identification. Compared to existing simulative methods, the Kirchhoff approximation method offers a much higher calculation efficiency and easy polarization setting that is especially fit for polarized scattering research. In this paper, by studying full angular Stokes vectors via the Kirchhoff approximation from two-dimensional (2D) randomly rough surfaces with various materials, the difference between Stokes vectors of metals and dielectrics is discovered. Moreover, we have successfully explained the distinction between metals and dielectrics by the phase difference between the incident and scattered waves using theoretical analysis. We believe the research could provide an easy and robust criterion for distinguishing metals and dielectrics in various fields such as laser radar and remote sensing.

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Section: Scattering Contribution From Local Field Probability Density...mentioning

confidence: 99%

Full angular Stokes vectors of light scattering from two-dimensional randomly rough surfaces by Kirchhoff approximation method

Yan

Wang

Shu

et al. 2014

J. Opt.

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“…The Mueller matrix is mainly exploited and used in biomedical studies benefitting from its distinctive advantages of highcontrast imaging and abundant structure information [13][14][15] . It works for both linear and circular polarizations [16] .…”

Section: Introductionmentioning

confidence: 99%

Depolarization index from Mueller matrix descatters imaging in turbid water

et al. 2022

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Polarization underwater imaging is of great potential to target detection in turbid water. Typical methods are challenged by the requirement on degrees of polarization (DoPs) of both target light and backscattering. A polarization descattering imaging method was developed using the Mueller matrix, which in turn derived a depolarization (Dep) index from the Mueller matrix to characterize scattering media by estimating the transmittance map by combining a developed optimal function. By quantifying light attenuation with the transmittance map, a clear vision of targets can be recovered. Only using the information of scattering media, the underwater vision under diverse water turbidity was enhanced by the results of experimental data.

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