Application of decision support systems in aerial image interpretation: war experience
DOI:
https://doi.org/10.54858/dndia.2025-21-30Keywords:
aerial photographs, interpretation, decision support system, hardware-software complex, combat experience, situational awareness, artificial intelligenceAbstract
The article examines the application of hardware-software decision support systems (DSS) in the interpretation of aerial photographs under modern wartime conditions. The subject of the research is the process of automation of aerial reconnaissance data analysis using specialized software-hardware tools. The topic is focused on enhancing the efficiency, accuracy, and timeliness of image interpretation by integrating artificial intelligence (AI) and geoinformation systems into the military decision-making cycle. The aim of the study is to formulate requirements for such DSS and to assess their role in improving operational decision-making processes within the Armed Forces of Ukraine.
The research methodology includes the analysis of combat experience during the Russian-Ukrainian war (2022–2025), expert surveys of military photo interpreters, systemic design of DSS functional modules, and modeling of use-case scenarios. Comparative analysis of manual versus automated interpretation was also applied to identify the key advantages and limitations of existing approaches.
The results of the study include the identification of major challenges in the interpretation process, such as adversary camouflage techniques, high volume of reconnaissance imagery (thousands of images per UAV flight), limited availability of trained analysts, and difficulties with internet access in frontline conditions. Based on these findings, general functional and hardware requirements for DSS were developed, including automated object detection, coordinate determination in MGRS and geographic systems, generation of intelligence reports, and integration with the situational awareness platform “Delta.”
The conclusions underline that the deployment of DSS enables significant acceleration of the reconnaissance cycle “detection ˗ analysis ˗ decision ˗ strike”, reduces human error, and improves situational awareness at tactical and operational levels. The research demonstrates that such systems can minimize the negative impact of electronic warfare and resource shortages, while ensuring resilience and offline operability. The practical application of the results lies in guiding the development, testing, and field implementation of new DSS solutions for the Armed Forces of Ukraine and allied defense structures
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