Skip to main content
SpringerLink
Log in

Building Systems for Object Recognition by Multichannel Sensing Systems Based on Neural Networks and Fractal Signatures

  • THEORY AND METHODS OF SIGNAL PROCESSING
  • Published:
Journal of Communications Technology and Electronics Aims and scope Submit manuscript

Abstract

An approach to building a multichannel pattern-recognition system by sensing systems is proposed. A list of problems solved by the sensing systems in the construction of object-recognition systems is specified. The problem of image preprocessing is formulated in the form of an ill-posed problem. The value of the fractal dimension D (the fractal signature) of images of contours of objects is used to create an additional characteristic. The methods for solving the problems of building modern object-recognition systems are evaluated.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5.

Similar content being viewed by others

REFERENCES

  1. A. I. Baklanov, in Systems of Observation, Monitoring and Remote Sensing of Earth (Proc. XV Sci.-Tech. Conf., Alushta,2018), p. 43.

  2. A. I. Baklanov, in Systems of Observation, Monitoring and Remote Sensing of Earth (Proc. XIV Sci.-Tech. Conf., Sochi,2017), p. 32.

  3. O. V. Shut, Informatika, No. 3, 35 (2012).

  4. O. V. Shut, Vestnik BGU, Ser. 1, No. 1, 56 (2014).

  5. N. S. Akinshin, V. L. Rumyantsev, Yu. I. Mamon, and A. V. Boldin, Distinction of Faint Radar Targets against the Background of the Land Surface (TulGU, Tula, 2006) [in Russian].

  6. I. G. Zakharov, Choice Justification. Theory of Practice (Sudostroenie, SPb, 2006) [in Russian].

  7. O. V. Esikov, E. M. Sukharev, A. V. Altukhov, and E. A. Tarasov, Naukoemkie Tekhnol. No. 4, 54 (2011).

    Google Scholar 

  8. A. V. Andreev, O. V. Esikov, Yu. I. Mamon, et al., Vestn. St-Petersburg. Gos. Inst. Grazhdan. Aviats. (SPbGUGA), No. 1, 131 (2017).

  9. O. V. Esikov, A. I. Chernyshkov, and M. Yu. Fomichev, in Proc. XXXVIII All-Russian Conf., Devoted to 75 Anniversary of Southern Ural State Univ.2018 (RAN, Moscow, 2018), p. 136.

  10. O. G. Alekseev, Complex Application of Methods of Discrete Optimization (Nauka, Moscow, 1987) [in Russian].

    MATH  Google Scholar 

  11. A. N. Tikhonov, A. V. Goncharskii, V. V. Stepanov, and A. G. Yagoda, Numerical Methods of the Solution of Incorrect Tasks (Nauka, Moscow, 1990) [in Russian].

    Google Scholar 

  12. A. B. Bakushinskii and A. V. Goncharskii, Incorrect Tasks. Numerical Methods and Applications (Mos. Gos. Univ., Moscow, 1989) [in Russian].

    MATH  Google Scholar 

  13. A. L. Tatuzov, Neural Networks in Problems of a Radar-Location (Radiotekhnika, Moscow, 2009) [in Russian].

    Google Scholar 

  14. S. Khaikin, Neural Networks (ID Vil’yams, Moscow, 2006) [in Russian].

  15. A. A. Potapov, Fractals in Radiophysics and the Radar-Location: Selection Topology (Universitetskaya Kniga, Moscow, 2005) [in Russian].

    Google Scholar 

  16. A. A. Potapov, “Fractals in Remote Sensing,” Zarubezh. Radioelektron. Usp. Sovr. Radioelektron., No. 6, 3 (2000).

  17. A. A. Potapov, in Proc. VKO-2016 System RTI (Proc. IV All-Russian Sci.-Tech. Conf. Devoted to the 100 Anniversary of NIIDAR and the 70 Anniversary of RTI of the Academician A. L. Mintz, Iune 2–3,2016) (Bauman MGTU, Moscow, 2016), p. 438.

  18. A. A. Potapov, Vestn. Vozdushno-Kosmich. Obor., No. 2, 15 (2018).

  19. A. A. Potapov, Collection of Scientific Works to the 65 Anniversary of Creation of IRE of V. A. Kotelnikov of RAS and to the 110 Anniversary since the Birth of the Academician V.A. Kotelnikov, Ed. by S. A. Nikitov (IRE, Moscow, 2018), p. 99 [in Russian].

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Central Design Bureau of Apparatus Engineering, 300034, Tula, Russia

    N. S. Akinshin & O. V. Esikov

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

    A. A. Potapov & R. P. Bystrov

  3. Penza Branch, Military Academy of Logistics, 440005, Penza, Russia

    A. I. Chernyshkov

Authors
  1. N. S. Akinshin
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. A. A. Potapov
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. R. P. Bystrov
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. O. V. Esikov
    View author publications

    You can also search for this author in PubMed Google Scholar

  5. A. I. Chernyshkov
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to A. A. Potapov.

Additional information

Translated by O. Pismenov

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Akinshin, N.S., Potapov, A.A., Bystrov, R.P. et al. Building Systems for Object Recognition by Multichannel Sensing Systems Based on Neural Networks and Fractal Signatures. J. Commun. Technol. Electron. 65, 835–842 (2020). https://doi.org/10.1134/S1064226920060017

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1134/S1064226920060017

Search

Navigation