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Updated: Feb 7, 2026

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[Stokes Parameter Detection and Precision Analysis Based on Rotating Quarter-Wave Plate].
Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
|August 4, 2018
Summary
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.
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.
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