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Updated: Aug 8, 2025

ARL Spectral Fitting as an Application to Augment Spectral Data via Franck-Condon Lineshape Analysis and Color Analysis
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Spectral missing color correction based on an adaptive parameter fitting model.

Tengfeng Wang, Duan Liu, Zhishuang Xue

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    Hyperspectral LiDAR data often loses spectral information, causing color distortion. This study introduces an adaptive model to correct missing spectral data, accurately restoring target colors and improving image quality.

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    Area of Science:

    • Remote Sensing
    • Optical Engineering
    • Computer Vision

    Background:

    • Advancements in remote sensing technology have increased interest in hyperspectral LiDAR (Light Detection and Ranging).
    • Hyperspectral LiDAR echo signals are crucial for true-color visualization in research and commercial applications.
    • Limitations in hyperspectral LiDAR emission power lead to spectral-reflectance information loss, causing color cast issues in reconstructed images.

    Purpose of the Study:

    • To address the color cast problem in hyperspectral LiDAR true-color visualization.
    • To propose a novel spectral missing color correction approach for hyperspectral LiDAR data.
    • To accurately restore target colors from incomplete spectral integration.

    Main Methods:

    • Development of a spectral missing color correction approach utilizing an adaptive parameter fitting model.
    • Identification of known missing spectral-reflectance band intervals.
    • Correction of colors within incomplete spectral integration to restore target colors.

    Main Results:

    • Experimental results demonstrate a reduced color difference between corrected color blocks and the hyperspectral image compared to ground truth.
    • The proposed color correction model significantly enhances image quality.
    • Accurate reproduction of target colors was achieved using the developed method.

    Conclusions:

    • The adaptive parameter fitting model effectively corrects spectral missing color issues in hyperspectral LiDAR.
    • The proposed method overcomes limitations of hyperspectral LiDAR, enabling accurate color reproduction.
    • This approach enhances the reliability and applicability of hyperspectral LiDAR for true-color visualization.