Concept of a geoinformation platform for landmines and other explosive objects detection and mapping with UAV
The subject of this article is the concept of a geoinformation platform for landmine detection. Modern warfare and its increasing scale have become a relevant topic today. Undetected explosives threaten business (agriculture, logistics, etc.) and human lives. The problem becomes more acute with the...
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| Main Authors: | , , , , , , , |
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| Format: | Article |
| Language: | English |
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National Aerospace University «Kharkiv Aviation Institute»
2024-11-01
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| Series: | Радіоелектронні і комп'ютерні системи |
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| Online Access: | http://nti.khai.edu/ojs/index.php/reks/article/view/2661 |
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| _version_ | 1841557736645459968 |
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| author | Mykhailo Popov Sergey Stankevich Sergey Mosov Stanislav Dugin Stanislav Golubov Artem Andreiev Artur Lysenko Ievgen Saprykin |
| author_facet | Mykhailo Popov Sergey Stankevich Sergey Mosov Stanislav Dugin Stanislav Golubov Artem Andreiev Artur Lysenko Ievgen Saprykin |
| author_sort | Mykhailo Popov |
| collection | DOAJ |
| description | The subject of this article is the concept of a geoinformation platform for landmine detection. Modern warfare and its increasing scale have become a relevant topic today. Undetected explosives threaten business (agriculture, logistics, etc.) and human lives. The problem becomes more acute with the rapid extension of minefield areas, which requires significant time and resources and carries high risks. Remote sensing leverages landmine detection possibilities, providing useful information about landmine displacement with no additional risk during data collection over a large area. This study aims to present a combined approach for revealing hidden landmines using UAVs equipped with different sensor types. The tasks to be solved are to define the overall structure and components of the geoinformation platform, choose the technological solutions for each of them, and implement the system prototype that makes it possible to extend its configuration in the future. The methods used are remote sensing, automated object detection, and centralized data processing in a geographic information system (GIS). Multispectral imagery and magnetometric remote measurements create the background information required to detect landmines and other explosive objects. The results of this study provide a general framework, i.e., a geoinformation platform for landmine detection and mapping. The tasks include UAV-based remote data gathering, UAV mission planning and flight control, data processing and mapping via general GIS, and updating new landmine signatures in the corresponding database. The landmine detection process uses information from the landmine signature database to verify suspicious objects. The results are presented in the form of a probabilistic map, which supports the decision-making process of demining. Conclusion. The proposed approach significantly decreases the time required for landmine detection and mitigates demining risks, which is crucial for dealing with the consequences of war. At present, the concept is being developed in the form of a geoinformation platform research prototype involving an open-source Quantum GIS (QGIS) software system and Python programming language, which is used to create plug-ins for QGIS. The entire landmine remote detection process can be fully automated. Future studies will involve extensive experimental testing and may involve convolutional neural networks (CNN) as a detection mechanism. |
| format | Article |
| id | doaj-art-a9f5c976beb74964b5770e8a565b31d2 |
| institution | Kabale University |
| issn | 1814-4225 2663-2012 |
| language | English |
| publishDate | 2024-11-01 |
| publisher | National Aerospace University «Kharkiv Aviation Institute» |
| record_format | Article |
| series | Радіоелектронні і комп'ютерні системи |
| spelling | doaj-art-a9f5c976beb74964b5770e8a565b31d22025-01-06T10:47:18ZengNational Aerospace University «Kharkiv Aviation Institute»Радіоелектронні і комп'ютерні системи1814-42252663-20122024-11-012024420721610.32620/reks.2024.4.172366Concept of a geoinformation platform for landmines and other explosive objects detection and mapping with UAVMykhailo Popov0Sergey Stankevich1Sergey Mosov2Stanislav Dugin3Stanislav Golubov4Artem Andreiev5Artur Lysenko6Ievgen Saprykin7Scientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, KyivScientific Centre for Aerospace Research of the Earth of the Institute of Geological Sciences of the National Academy of Sciences of Ukraine, KyivInstitute of Public Administration and Research in Civil Protection, KyivScientific Centre for Aerospace Research of the Earth, KyivScientific Centre for Aerospace Research of the Earth, KyivScientific Centre for Aerospace Research of the Earth, KyivScientific Centre for Aerospace Research of the Earth, KyivScientific Centre for Aerospace Research of the Earth, KyivThe subject of this article is the concept of a geoinformation platform for landmine detection. Modern warfare and its increasing scale have become a relevant topic today. Undetected explosives threaten business (agriculture, logistics, etc.) and human lives. The problem becomes more acute with the rapid extension of minefield areas, which requires significant time and resources and carries high risks. Remote sensing leverages landmine detection possibilities, providing useful information about landmine displacement with no additional risk during data collection over a large area. This study aims to present a combined approach for revealing hidden landmines using UAVs equipped with different sensor types. The tasks to be solved are to define the overall structure and components of the geoinformation platform, choose the technological solutions for each of them, and implement the system prototype that makes it possible to extend its configuration in the future. The methods used are remote sensing, automated object detection, and centralized data processing in a geographic information system (GIS). Multispectral imagery and magnetometric remote measurements create the background information required to detect landmines and other explosive objects. The results of this study provide a general framework, i.e., a geoinformation platform for landmine detection and mapping. The tasks include UAV-based remote data gathering, UAV mission planning and flight control, data processing and mapping via general GIS, and updating new landmine signatures in the corresponding database. The landmine detection process uses information from the landmine signature database to verify suspicious objects. The results are presented in the form of a probabilistic map, which supports the decision-making process of demining. Conclusion. The proposed approach significantly decreases the time required for landmine detection and mitigates demining risks, which is crucial for dealing with the consequences of war. At present, the concept is being developed in the form of a geoinformation platform research prototype involving an open-source Quantum GIS (QGIS) software system and Python programming language, which is used to create plug-ins for QGIS. The entire landmine remote detection process can be fully automated. Future studies will involve extensive experimental testing and may involve convolutional neural networks (CNN) as a detection mechanism.http://nti.khai.edu/ojs/index.php/reks/article/view/2661geoinformation platformlandmine detection and mappingcopter-type uavsensor fusionprobabilistic model |
| spellingShingle | Mykhailo Popov Sergey Stankevich Sergey Mosov Stanislav Dugin Stanislav Golubov Artem Andreiev Artur Lysenko Ievgen Saprykin Concept of a geoinformation platform for landmines and other explosive objects detection and mapping with UAV Радіоелектронні і комп'ютерні системи geoinformation platform landmine detection and mapping copter-type uav sensor fusion probabilistic model |
| title | Concept of a geoinformation platform for landmines and other explosive objects detection and mapping with UAV |
| title_full | Concept of a geoinformation platform for landmines and other explosive objects detection and mapping with UAV |
| title_fullStr | Concept of a geoinformation platform for landmines and other explosive objects detection and mapping with UAV |
| title_full_unstemmed | Concept of a geoinformation platform for landmines and other explosive objects detection and mapping with UAV |
| title_short | Concept of a geoinformation platform for landmines and other explosive objects detection and mapping with UAV |
| title_sort | concept of a geoinformation platform for landmines and other explosive objects detection and mapping with uav |
| topic | geoinformation platform landmine detection and mapping copter-type uav sensor fusion probabilistic model |
| url | http://nti.khai.edu/ojs/index.php/reks/article/view/2661 |
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