Application of detection reconnaissance technologies use by drones in collaboration with C4IRS for military interested

Petrovski, Aleksandar and Radovanović, Marko (2021) Application of detection reconnaissance technologies use by drones in collaboration with C4IRS for military interested. Contemporary Macedonian Defence – International Scientific Defence, Security and Peace Journal, 21 (40). ISSN 1409-8199

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Abstract

Information in the 21st century represents power, and thus the safest and most legitimate "machine for domination". The consequences of the rapid growth of information technologies and their usage for army purposes make information one of the key concepts of unconventional warfare. With the tendency for creating modern, better equipped and more effective armed forces, in all the armies of the world, there is an increasing need for gathering intelligence. As the precision and lethality of armed systems is increasing, so is the need for the rational and effective use of data. In this context there are technological and operational challenges to be met in terms ofpr ogress of the data collection and processing platforms, sensors, communication systems and their varieties. As one of the resources for collecting intelligence, the drones emerged with their different spectrum of use: significant amount of collected data in a short time period, in a large area and inside opponent's territory, high accuracy and veracity of collected data, possibility for quick transfer of the focus of reconnaissance, i.e., a possibility for changing the object of reconnaissance during the reconnaissance mission. The purpose of this paper is to present a model of the system for command, control, communications, computers, intelligence, surveillance and reconnaissance-a C4ISR system with a focus on detection and reconnaissance by the use of drones in collaboration with C4ISR (supported by GIS) for military purposes.

Item Type: Article
Subjects: Engineering and Technology > Other engineering and technologies
Divisions: Military Academy
Depositing User: Aleksandar Petrovski
Date Deposited: 16 Sep 2026 07:21
Last Modified: 16 Sep 2026 07:21
URI: https://eprints.ugd.edu.mk/id/eprint/39027

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