AI-assisted GEOINT for Border Security: A LEO-centric Architecture Integrating IMINT, UAV Reconnaissance, and OSINT
Keywords:
Border security, Earth observation satellites, Geospatial Intelligence (GEOINT), Human-in-the-loop intelligence, Situational awareness, Unmanned Aerial Vehicles (UAVs)Abstract
Border security operations require persistent monitoring, timely detection, and reliable decision support across large and diverse geographic areas. Traditional approaches based on single sensors or isolated intelligence sources often struggle to provide comprehensive situational awareness under changing environmental and operational conditions. This paper proposes an AI-assisted geospatial intelligence (GEOINT) architecture to support military and security border operations by integrating Low Earth Orbit (LEO) satellite imagery intelligence (IMINT), Unmanned Aerial Vehicle (UAV) reconnaissance, and Open-Source Intelligence (OSINT) within a unified framework. The proposed architecture adopts a layered approach in which LEO satellites provide wide-area and persistent monitoring, optical and synthetic aperture radar (SAR) sensors offer complementary observation capabilities, and UAVs serve as tactical gap-fillers for localized verification and responsive reconnaissance. Artificial intelligence is embedded within the processing layer to support object detection, change detection, and information fusion, with the primary goal of assisting analysts in managing large data volumes and prioritizing areas of interest. Human-in-the-loop control is maintained throughout the workflow to ensure accountability, transparency, and operational relevance. Rather than presenting performance metrics or sensitive implementation details, the paper focuses on architectural design, operational roles, and illustrative border security scenarios. The results highlight how the integration of satellite IMINT, UAV data, OSINT, and AI-assisted analysis can enhance situational awareness and decision support while remaining aligned with established GEOINT doctrine and ethical considerations. The proposed framework provides a practical foundation for future development of border security GEOINT systems.
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