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[Stokes Parameter Detection and Precision Analysis Based on Rotating Quarter-Wave Plate].

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    Accurate calibration of polarized optical remote sensors is crucial for target characteristic inversion. This study introduces a novel correction model to significantly improve the measurement accuracy of calibration reference source polarization states.

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    Area of Science:

    • Optical remote sensing
    • Polarimetry
    • Metrology

    Background:

    • Accurate calibration of polarized optical remote sensors is essential for precise target characteristic inversion.
    • The polarization states of calibration reference sources directly impact sensor calibration accuracy.
    • Existing methods may face limitations in achieving high-precision polarization state detection.

    Purpose of the Study:

    • To develop and validate a correction model for improving the accuracy of polarization state detection of calibration reference light sources.
    • To enhance the precision of polarized optical remote sensor calibration.
    • To reduce the deviation between measured and theoretical Stokes parameters.

    Main Methods:

    • Utilized 870 nm horizontal linear polarized light modulated by a rotating quarter-wave plate (QWP).
    • Employed Fourier transform method to demodulate intensity data and calculate Stokes parameters.
    • Constructed a correction model accounting for QWP retardance deviation (Δδ), fast axis angle deviation (Δα), and analyzing polarizer transmission axis alignment deviation (Δβ).

    Main Results:

    • The developed correction model reduced the relative deviation of Stokes parameters from 3.77% to less than 1.41%.
    • Δδ and Δβ were determined as functions of their deviation magnitude.
    • Experimental results demonstrated a significant improvement in the accuracy of detecting calibration reference source polarization states.

    Conclusions:

    • The proposed deviation correction model substantially enhances the accuracy of polarization state detection for calibration reference light sources.
    • The methodology is applicable to improving the precision of polarized optical remote sensor calibration.
    • This research contributes to more reliable remote sensing data acquisition and target characteristic analysis.