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[Analysis of optic crosstalk correction for pushbroom hyperspectral data].

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    Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
    |March 11, 2015
    PubMed
    Summary

    A new method corrects optical crosstalk in pushbroom hyperspectral imager (PHI) data using its own spectral information. This significantly improves data quality and spectral accuracy across various ground scenes.

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    Area of Science:

    • Remote Sensing
    • Optical Engineering
    • Image Processing

    Context:

    • Pushbroom hyperspectral imagers (PHI) are susceptible to optical crosstalk, which degrades image quality.
    • Accurate spectral and spatial data are crucial for various applications, including environmental monitoring and resource management.
    • Existing crosstalk correction methods may require external data or complex calibration procedures.

    Purpose:

    • To develop an effective and self-contained method for correcting optical crosstalk in PHI data.
    • To improve the spectral and spatial resolution of hyperspectral imagery.
    • To provide a reliable approach for measuring optical crosstalk in hyperspectral imagers.

    Summary:

    • A novel optical crosstalk correction method was developed for pushbroom hyperspectral imagers (PHI).
    • The method utilizes white calibration target data to calculate and correct crosstalk at the pixel level using a recursive approach.
    • Correction is applied to PHI data from diverse ground scenes, demonstrating significant crosstalk reduction and data quality enhancement.

    Impact:

    • Corrected data show markedly reduced optical crosstalk, improving both spectral and spatial dimensions.
    • Spectral changes caused by crosstalk are rectified, with 83% of bands experiencing over 50% definition increase.
    • The method is validated for different ground types and offers a lab-based approach for measuring hyperspectral imager crosstalk.