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Advances in Spectroscopic Characters of Space Objects.

Can Xu, Ya-sheng Zhang, Yang-sheng Zhao

    Guang Pu Xue Yu Guang Pu Fen Xi = Guang Pu
    |August 28, 2018
    PubMed
    Summary

    Analyzing space object spectra helps identify material types and compositions. This study details spectroscopic methods and the

    Area of Science:

    • Space science and engineering
    • Materials science
    • Spectroscopy

    Background:

    • Spectroscopic characteristics are key optical attributes for identifying space object materials.
    • Understanding material types aids in analyzing the operational status and composition of space objects.
    • Challenges exist in spectrum measurement and material information retrieval for space objects.

    Purpose of the Study:

    • To analyze spectroscopic theory, retrieval methods, and the reddening effect in space object spectra.
    • To investigate the spectral contributions from 350 to 2500 nm from vibrational and electrical spectra.
    • To explore material identification techniques and analyze the impact of the space environment on materials.

    Main Methods:

    • Investigated solid spectrum characters, including vibrational and electrical spectra (350–2500 nm).

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  • Studied artificial neural network, particle swarm optimization, and spectrum unmixing algorithms for material identification.
  • Analyzed spectrum reflectance, its derivatives, and center displacement features.

    • Main Results:

    • The reddening effect in spectrum measurement is linked to deoxidization and contamination in space environments.
    • Loose chemical bonds form due to oxygen separation and contamination, increasing light absorption and reflectance slope.
    • Spectrum reflectance analysis can reveal material aging due to harsh space environment exposure.

    Conclusions:

    • Spectroscopic analysis is crucial for identifying space object materials and their conditions.
    • Understanding the reddening effect provides insights into material degradation in space.
    • Spectrum reflectance data aids in assessing satellite material aging for future missions and repairs.