The concept of a hybrid technology for remote detection of explosive objects in coastal shallow water areas

Authors

  • Oleksandr Shchyptsov State Institution "Scientific Hydrophysical Center of the National Academy of Sciences of Ukraine", "Coordinating Center for Oceanographic Data of the National Academy of Sciences of Ukraine", Department of Oceanography, 42 Akademika Glushkova Ave., Laboratory Building B, Kyiv, 03187, Ukraine https://orcid.org/0000-0002-6285-0663
  • Volodymyr Bakhmutov Institute of Geophysics of the National Academy of Sciences of Ukraine, Palladin av. 32, Kyiv, 03142, Ukraine. https://orcid.org/0000-0003-3804-9953
  • Yevhen Polyachenko Institute of Geophysics of the National Academy of Sciences of Ukraine, Palladin av. 32, Kyiv, 03142, Ukraine https://orcid.org/0000-0002-3316-4605
  • Mykhailo Popov Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, Olesia Honchara str., 55-b, Kyiv, 01054, Ukraine https://orcid.org/0000-0003-1738-8227
  • Sergey Stankevich Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, Olesia Honchara str., 55-b, Kyiv, 01054, Ukraine https://orcid.org/0000-0002-0889-5764
  • Sergey Fedoseenkov State Institution "Scientific Hydrophysical Center of the National Academy of Sciences of Ukraine", 42 Akademika Glushkova Ave., Laboratory Building B, Kyiv, 03187, Ukraine https://orcid.org/0000-0002-9576-2977
  • Stanislav Dugin Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, Olesia Honchara str., 55-b, Kyiv, 01054, Ukraine https://orcid.org/0000-0002-2960-3783
  • Oleksandr Shchyptsov State Institution "Scientific Hydrophysical Center of the National Academy of Sciences of Ukraine", 42 Akademika Glushkova Ave., Laboratory Building B, Kyiv, 03187, Ukraine.

DOI:

https://doi.org/10.36023/ujrs.2024.11.4.274

Keywords:

water area, detection of explosive objects, coastal shallow water, hybrid technology, heterogeneous data

Abstract

The problem of detecting explosive objects in coastal shallow water areas is considered. Only the technological part of a single ship software and technological complex for specialized synchronous monitoring and non-contact detection of explosive objects in coastal shallow water areas is considered. The emphasis was placed on the study of multifaceted directions of applying artificial intelligence and developing software modules with an innovative component for the needs of synchronous recognition of images from multiple sources, the implementation of machine learning algorithms, etc. The concept of a hybrid technology for remote detection of explosive objects in coastal shallow water areas (with an innovative component in the processing, analysis and integration of heterogeneous data) is proposed, the use of which ensures increased safety for operators of the technological process. The use of this technology ensures increased safety for operators of the technological process; as well as a system of complex monitoring and non-contact detection of explosive objects. Potential structural modules of the system are described, modern technical and software tools that can be applied are presented. Some features of the methodology for using hydroacoustic means to search and identify explosive objects are considered.

Funding: This research received no external funding.

Data Availability Statement: Not applicable.

Acknowledgments: We are grateful to reviewers and editors for their valuable comments, recommendations, and attention to the work.

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Published

2024-12-30

How to Cite

Shchyptsov, O., Bakhmutov, V., Polyachenko, Y., Popov, M., Stankevich, S., Fedoseenkov, S., Dugin, S., & Shchyptsov, O. (2024). The concept of a hybrid technology for remote detection of explosive objects in coastal shallow water areas. Ukrainian Journal of Remote Sensing, 11(4), 4–12. https://doi.org/10.36023/ujrs.2024.11.4.274

Issue

Vol. 11 No. 4 (2024)

Section

Techniques for Earth observation data acquisition, processing and interpretation

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