Application of Drones in Crises Management Supported Mobile Applications and C4IRS Systems

Petrovski, Aleksandar; Bogatinov, Dimitar; Radovanović, Marko

doi:10.1007/978-3-031-26754-3_28

Cited by 6 publications

(7 citation statements)

References 12 publications

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“…Spatial data storage and visualization is also crucial in military logistics management. Therefore, GIS plays an important role in military logistics such as moving supplies, equipment and troops where they are needed at the right time and place [4]. By using GIS to computing routes for convoys in spatial databases, forces are able to determine and map alternative routes.…”

Section: Spatial Data Storage and Visualizationsmentioning

confidence: 99%

“…In the era of new technology for collecting intelligence, unmanned aerial vehicles (UAVs) or drones have emerged as tools for collecting high resolution data from enemy's territory and necessary information for reconnaissance purposes. A study has been conducted to present a model of a system supported by GIS for computers, command, control, communications, intelligence surveillance and reconnaissance (C4ISR) in collaboration with drones for military purposes [4]. Similar study further notes that drone application supported by GIS, C5ISR (command, control, computers, communications, cyber-defense, intelligence, surveillance and reconnaissance) and AI would give significant advantage on the ground [4].…”

Section: Drone Technology In Military Operationsmentioning

confidence: 99%

“…A study has been conducted to present a model of a system supported by GIS for computers, command, control, communications, intelligence surveillance and reconnaissance (C4ISR) in collaboration with drones for military purposes [4]. Similar study further notes that drone application supported by GIS, C5ISR (command, control, computers, communications, cyber-defense, intelligence, surveillance and reconnaissance) and AI would give significant advantage on the ground [4]. Therefore, integration of human intelligence with access to information and target zone, provide decisive advantage in the battlefield.…”

Section: Drone Technology In Military Operationsmentioning

confidence: 99%

“…The use of GIS applications in military has revolutionized the way in which the entity function. Geospatial technologies have prompted military organizations to utilize spatial data in attaining dominance in military power, and the art of acquiring information in real or near real-time allow military forces to dominate and take control of the war [3], [4].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Application of Geographic Information Systems and Remote Sensing in Military Operations: A Systematic Review

Chipatiso

2024

Preprint

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Geographic Information System (GIS) and Remote Sensing have been considered significant in the military due to their spatiality in nature. In this study, the descriptive-analytical method was used to illustrate the applications of GIS in military operations, drawing lessons from land based military developments from selected studies. Recent military developments have seen various military institutions depending on reliable and accurate spatial mapping tools, for the purpose of Command, Control, Communication and Coordination in military operations. The study notes that high resolution satellite data and or drone technology integrated with machine learning and Artificial Intelligence (AI), have been utilized in the military for a variety of applications including cartography, terrain analysis, intelligence collection and dissemination, object recognition, safeguarding military vital installations, as well as historical construction. The integration of GIS machine learning and AI is of significance to the military planning and deployment, as the understanding of landscape is useful in determining strategic positions in the battle ground in real-time. The study recommends the need to train military personnel in geospatial techniques and ensure proper deployment, for fruitful military operations.

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Section: Spatial Data Storage and Visualizationsmentioning

confidence: 99%

Section: Drone Technology In Military Operationsmentioning

confidence: 99%

Section: Drone Technology In Military Operationsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Application of Geographic Information Systems and Remote Sensing in Military Operations: A Systematic Review

Chipatiso

2024

Preprint

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“…Drones, also known as small unmanned aerial vehicles (UAVs), have revolutionized the modern world. These devices have proven to be valuable tools in a variety of civil applications, such as aerial photography, agriculture, remote sensing, transportation, and recreation [1][2][3][4]. At the same time, military drones have challenged the rules of modern warfare, as demonstrated by their victories in conflicts such as the Nagorno-Karabakh and Ukraine wars [5][6][7][8].…”

Section: Introductionmentioning

confidence: 99%

Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types

Yan

Hu²,

Gong

et al. 2023

Drones

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In this study, we examine the use of micro-Doppler signals produced by different blades (i.e., puller and lifting blades) to aid in radar-based target recognition of small drones. We categorize small drones into three types based on their blade types: fixed-wing drones with only puller blades, multi-rotor drones with only lifting blades, and hybrid vertical take-off and landing (VTOL) fixed-wing drones with both lifting and puller blades. We quantify the radar signatures of the three drones using statistical measures, such as signal-to-noise ratio (SNR), signal-to-clutter ratio (SCR), Doppler speed, Doppler frequency difference (DFD), and Doppler magnitude ratio (DMR). Our findings show that the micro-Doppler signals of lifting blades in all three drone types were stronger than those of puller blades. Specifically, the DFD and DMR values of pusher blades were below 100 Hz and 0.3, respectively, which were much smaller than the 200 Hz and 0.8 values for lifting blades. The micro-Doppler signals of the puller blades were weaker and more stable than those of the lifting blades. Our study demonstrates the potential of using micro-Doppler signatures modulated by different blades for improving drone detection and the identification of drone types by drone detection radar.

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Application of Hybrid Dibr-Fucom-Lmaw-Bonferroni-Grey-Edas Model in Multicriteria Decision-Making

Radovanović,

Božanić,

Tešić

et al. 2023

FU Mech Eng

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The selection of unmanned aerial vehicles for different purposes is a frequent topic of research. This paper presents a hybrid model of an unmanned aerial vehicle (UAV) selection using the Defining Interrelationships Between Ranked criteria (DIBR), Full Consistency Method (FUCOM), Logarithm Methodology of Additive Weights (LMAW) and grey - Evaluation based on Distance from Average Solution (G-EDAS) methods. The above-mentioned model is tested and confirmed in a case study. First of all, in the paper are defined the criteria conditioning the selection, and then with the help of experts and by applying the DIBR, FUCOM and LMAW methods, the weight coefficients of the criteria are determined. The final values of the weight coefficients are obtained by aggregating the values of the criteria weights from all the three methods using the Bonferroni aggregator. Ranking and selection of the optimal UAV from twenty-three defined alternatives is carried out using the G-EDAS method. Sensitivity analysis confirmed a high degree of consistency of the solutions obtained using other MCDM methods, as well as changing the criteria weight coefficients. The proposed model has proved to be stable; its application is also possible in other areas and it is a reliable tool for decision-makers during the selection process.

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Application of Drones in Crises Management Supported Mobile Applications and C4IRS Systems

Cited by 6 publications

References 12 publications

Application of Geographic Information Systems and Remote Sensing in Military Operations: A Systematic Review

Application of Geographic Information Systems and Remote Sensing in Military Operations: A Systematic Review

Exploring Radar Micro-Doppler Signatures for Recognition of Drone Types

Application of Hybrid Dibr-Fucom-Lmaw-Bonferroni-Grey-Edas Model in Multicriteria Decision-Making

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