Operational Use of Multispectral Methods Against UAS Effects

nmanned Aerial Systems (UAS) have become a pivotal component in modern warfare and civil applications, offering unmatched flexibility, mobility, and operational capabilities. With the integration of artificial intelligence and lightweight materials often enabled by 3D printing UAS are increasingly difficult to detect and neutralize. This article focuses on methods for the effective localization and identification of UAS, particularly through the use of multispectral cameras that operate across different bands of the electromagnetic spectrum. However, it is evident that relying solely on optical systems, even advanced ones, is insufficient for accurate detection, especially in complex terrain or at extended ranges. To address this challenge, a multi-sensor approach is proposed, integrating optical, thermal, and radar data for enhanced situational awareness. Key requirements for anti-UAS systems are outlined, including high sensitivity, real-time data sharing, distinction between UAS and natural objects, and the ability to counter both wirelessly and optically controlled drones. The study also discusses the emerging threat posed by optically tethered drones, which bypass standard jamming techniques. The broader implications of UAS technology are considered, from battlefield dominance to humanitarian uses such as search and rescue and infrastructure monitoring. This research underscores the urgency for adaptive, multi-modal counter-UAS systems as the technology continues to evolve rapidly.