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    This study introduces light-field multi-spectral radiation thermometry, a novel method for accurately measuring surface temperature distribution using a single snapshot. The technique leverages an unfocused light-field camera and filters to capture spectral and intensity data, enabling precise thermal imaging.

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    Area of Science:

    • Optics and Photonics
    • Thermal Measurement
    • Imaging Science

    Background:

    • Traditional radiation thermometry often requires multiple sensors or complex setups.
    • Accurate surface temperature measurement is crucial in various industrial and scientific applications.
    • Light-field imaging offers potential for capturing richer scene information.

    Purpose of the Study:

    • To propose and validate a novel light-field multi-spectral radiation thermometry method.
    • To enable simultaneous acquisition of spectral and intensity data for temperature mapping.
    • To achieve accurate surface temperature measurement with a simplified optical setup.

    Main Methods:

    • Utilizing an unfocused light-field camera to record ray directions and intensities.
    • Employing an array of filters to substitute directional information with spectral data.
    • Decoupling multi-spectral light-field (MSLF) images and applying multi-wavelength pyrometer algorithms.

    Main Results:

    • The scalar field of surface temperature distribution was successfully achieved.
    • Analysis of measurement errors across different temperature levels and image regions was performed.
    • Validation experiments confirmed the method's accuracy.

    Conclusions:

    • The proposed light-field multi-spectral radiation thermometry enables accurate temperature measurement.
    • The method requires only a single lens, monochromatic sensor, and one snapshot.
    • This technique offers a simplified and efficient approach to thermal imaging.