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Lightweight high-frequency whisk-broom hyperspectral imager using optical switch.

Pinliang Yue, Mingle Zhang, Qingbin Jiao

    Optics Express
    |August 13, 2025
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    A new lightweight whisk-broom hyperspectral imager improves efficiency for remote sensing. This system enhances data acquisition frequency for agricultural and forestry applications in the shortwave infrared spectrum.

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    Area of Science:

    • Remote Sensing
    • Optical Engineering
    • Spectroscopy

    Background:

    • Whisk-broom hyperspectral imaging offers cost-effectiveness and a wide field of view for remote sensing.
    • Existing systems face limitations in integration time and efficiency, particularly in the shortwave infrared (SWIR) range.
    • SWIR detectors are expensive, posing a challenge for cost-sensitive applications like agriculture and forestry.

    Purpose of the Study:

    • To develop a lightweight, high-frequency whisk-broom hyperspectral imager operating in the 900-2500 nm spectral range.
    • To overcome the limitations of traditional whisk-broom systems regarding speed and efficiency.
    • To enhance the applicability of whisk-broom hyperspectral imaging in civilian airborne remote sensing.

    Main Methods:

    • Designed a system utilizing a lightweight parabolic mirror as a telescope.
    • Integrated an optical fiber spectrometer for simplified whisk-broom hyperspectral imaging.
    • Incorporated an optical switch device for rapid field-of-view switching and time-division multiplexing.

    Main Results:

    • A proof-of-principle prototype was successfully constructed.
    • Laboratory experiments demonstrated the system's capability for scanning spectral imaging.
    • The high-frequency operation and improved acquisition frequency were confirmed.

    Conclusions:

    • The proposed lightweight, high-frequency whisk-broom hyperspectral imager effectively addresses the efficiency challenges of existing systems.
    • The integration of an optical switch significantly enhances data acquisition speed.
    • This technology shows promise for advanced civilian airborne remote sensing, especially in the SWIR spectrum.