Development of a Remote Sensing System for Real-Time Detection of Military Threats

To strengthen the national defense system, advances in remote sensing technology are essential, especially to detect military threats that could threaten sovereignty. These threats can be physical or non-physical, such as cyber-attacks that can damage vital infrastructure. Therefore, effective border monitoring is critical to maintaining the security and stability of the country. Although remote sensing technology is developing rapidly, several issues hinder its implementation, such as inadequate infrastructure and lack of employee training. Previous research has not fully studied how various advanced technologies can be incorporated into Indonesia's border area defense system that is responsive and operates in real time. The purpose of this study is to see how well remote sensing systems detect military threats and evaluate the problems that arise when implementing them. In addition, this study aims to provide strategic suggestions that will help improve national defense. This research utilizes a literature review of relevant articles and analyzes information to gain a further understanding of advances in remote sensing technology and its applications in defense. Studies show that technologies such as radar, CCTV, and artificial intelligence (AI) can improve threat detection in border areas. AI-based radars enable faster identification and classification of threats, and cloud-based CCTV improves real-time monitoring. The findings from this study suggest that the development and utilization of advanced remote sensing technologies can improve Indonesia's defense system. By addressing infrastructure and personnel training issues, the country can more effectively safeguard its sovereignty and stability by improving responses to military and non-military threats.