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Mathematical algorithms for processing and analysis of near-infrared data from a satellite-borne Fourier transform spectrometer

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Mathematical algorithms for processing and analysis of near-infrared data from a satellite-borne Fourier transform spectrometer have been designed. The algorithms involve non-parametric approaches based on neural networks, random forest, and empirical orthogonal functions. The results obtained from processing of model data and real measurements performed by means of the GOSAT-borne Fourier transform spectrometer are presented.

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Authors and Affiliations

  1. Tomsk State University of Control Systems and Radioelectronics, Tomsk, Russia

    M. Yu. Kataev, S. G. Kataev, A. G. Andreev, S. A. Bazelyuk & A. K. Lukianov

  2. National Institute for Environmental Studies, Tsukuba, Japan

    Sh. Maksyutov

Authors
  1. M. Yu. Kataev
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  2. S. G. Kataev
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  3. Sh. Maksyutov
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  4. A. G. Andreev
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  5. S. A. Bazelyuk
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  6. A. K. Lukianov
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Corresponding author

Correspondence to M. Yu. Kataev.

Additional information

Translated from Izvestiya Vysshykh Uchebnykh Zavedenii, Fizika, No. 3, pp. 84–89, March 2012.

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Kataev, M.Y., Kataev, S.G., Maksyutov, S. et al. Mathematical algorithms for processing and analysis of near-infrared data from a satellite-borne Fourier transform spectrometer. Russ Phys J 55, 330–335 (2012). https://doi.org/10.1007/s11182-012-9816-3

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  • DOI: https://doi.org/10.1007/s11182-012-9816-3

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