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Compact, UAV-mounted hyperspectral imaging system with automatic geometric distortion rectification.

Qingsheng Xue, Bai Yang, Fupeng Wang

    Optics Express
    |March 17, 2021
    PubMed
    Summary
    This summary is machine-generated.

    A compact hyperspectral imager for UAVs offers real-time visible light and hyperspectral imaging. Its shared optical path design simplifies geometric rectification, improving efficiency and accuracy for ultra-wide range imaging.

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    Area of Science:

    • Optics and Photonics
    • Remote Sensing
    • Aerospace Engineering

    Background:

    • Hyperspectral imaging systems for Unmanned Aerial Vehicles (UAVs) require high integration and efficient geometric rectification.
    • Existing systems often face challenges with data accuracy and processing time due to complex optical paths and navigation data quality.

    Purpose of the Study:

    • To develop a highly compact hyperspectral imager with automatic geometric rectification for UAV applications.
    • To enable real-time visible light and hyperspectral imaging with a shared optical path design.

    Main Methods:

    • Designed a system integrating visible light and hyperspectral cameras sharing a single telescope optical path.
    • Developed an automatic geometric rectification workflow incorporating frame images to correct for low-quality UAV navigation data.
    • Achieved a field of view (FOV) of 40° (frame) x 26° (flight) with a 13mm focal length.

    Main Results:

    • The integrated system has a total mass of 1.9 kg, demonstrating high integration.
    • The shared optical path ensures identical FOV, frame rate, and spatial resolution for both cameras, simplifying rectification.
    • The automatic geometric rectification achieved a relative accuracy of less than 2 pixels, even with degraded navigation data.

    Conclusions:

    • The developed compact hyperspectral imager is suitable for ultra-wide range UAV-based imaging.
    • The shared optical path and automatic rectification significantly improve imaging efficiency and geometric accuracy.
    • This system enhances the practical application of hyperspectral imaging in various fields.