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Fractal Filters Intended for Signal Detection during Remote-Sensing Data Processing

  • STATISTICAL RADIOPHYSICS
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Abstract

A new approach to processing and analysis of noisy data inherent to the optical systems of Earth remote sensing systems is proposed and investigated. This approach involves the system integration of several conceptual ideas based on the multiscale representation of fractal sets, recursive scans, and wavelet transforms, making it possible to improve the signal detection efficiency under complex background‒target conditions.

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ACKNOWLEDGMENTS

This work was performed under the project “Leading Talents of Guangdong Province in 2016–2020” (no. 00201502), Jinan University, Guangzhou, China.

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Authors and Affiliations

  1. Ufa State Aviation Technical University, 450000, Ufa, Russia

    V. Kh. Bagmanov & A. Kh. Sultanov

  2. Kotel’nikov Institute of Radio Engineering and Electronics, Russian Academy of Sciences, 125009, Moscow, Russia

    A. A. Potapov

  3. Joint Chinese-Russian Laboratory of Information Technologies and Fractal Processing of Signals, Jinan University, 510632, Guangzhou,, China

    A. A. Potapov & Wei Zang

Authors
  1. V. Kh. Bagmanov
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  2. A. A. Potapov
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  3. A. Kh. Sultanov
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  4. Wei Zang
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Corresponding authors

Correspondence to V. Kh. Bagmanov, A. A. Potapov, A. Kh. Sultanov or Wei Zang.

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Translated by S. Rodikov

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Bagmanov, V.K., Potapov, A.A., Sultanov, A.K. et al. Fractal Filters Intended for Signal Detection during Remote-Sensing Data Processing. J. Commun. Technol. Electron. 63, 1163–1169 (2018). https://doi.org/10.1134/S1064226918100030

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  • DOI: https://doi.org/10.1134/S1064226918100030

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