Automation within the ISR Collection Management domain

Coman, C.I.; Veum, K.

doi:10.1109/iccomm.2014.6866721

Cited by 3 publications

(2 citation statements)

References 2 publications

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“…This aspect of information management is quite similar to mission planning which will be discussed in depth in the next section. [24] studies the use of information collection management during the ISR process. The authors propose to assign tasks to platforms using AI.…”

Section: Intelligence Surveillance and Reconnaissancementioning

confidence: 99%

Multi-Objective Heterogeneous Multi-Asset Collection Scheduling Optimization with High-Level Information Fusion

Kande

Abielmona

Harb

et al. 2021

2021 IEEE International Systems Conference (SysCon)

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Surveillance of areas of interest through image acquisition is becoming increasingly essential for intelligence services. Several types of platforms equipped with sensors are used to collect good quality images of the areas to be monitored. The evolution of this field has different levels: some studies are only based on improving the quality of the images acquired through sensors, others on the efficiency of platforms such as satellites, aircraft and vessels which

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Section: Intelligence Surveillance and Reconnaissancementioning

confidence: 99%

Multi-Objective Heterogeneous Multi-Asset Collection Scheduling Optimization with High-Level Information Fusion

Kande

Abielmona

Harb

et al. 2021

2021 IEEE International Systems Conference (SysCon)

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“…Finally, the amount of the military intelligence data collected owing to the emergence of new surveillance weapons systems, such as military satellites, drones, and unmanned aerial systems, is exponentially growing. In addition, the AI technology is being applied to the analysis work to efficiently process and fuse such data to produce reliable intelligence [17][18][19][20]. A typical example is Project Maven.…”

Section: Introductionmentioning

confidence: 99%

Priority Determination to Apply Artificial Intelligence Technology in Military Intelligence Areas

et al. 2020

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The Ministry of National Defense of South Korea is currently acquiring various surveillance and reconnaissance assets to improve its independent surveillance and reconnaissance capabilities. With the deployment of new strategic and tactical surveillance and reconnaissance assets, the amount of information collected will increase significantly, and military intelligence capable of handling greater complexity will be needed to process such information. As a consequence, it will no longer be possible to handle the increased workload through a manual analysis conducted by intelligence analysists. Further, the number of intelligence analysists is expected to decrease in the near future owing to a reduction in the total number of troops, thereby exacerbating the need to apply artificial intelligence technology to process military intelligence tasks more quickly and accurately. In this study, a method is introduced for determining the ways to prioritize the AI technology domains applied to military intelligence. Consequently, among the five stages used, the processing stage has the highest priority. The application of AI technology to all the stages of information circulation may be ideal. Nevertheless, among various military intelligence domains, the one that affords the highest effectiveness of such an application should be prioritized. This is owing to resource and defense budget limitations.

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