美地理空间情报智能化转型机制与路径研究OACHSSCD

[Purpose]This paper aims to systematically dissect the pathway and mechanisms through which the U.S.military leverages Ar-tificial Intelligence(AI)to drive the intelligent transformation of its GEOINT capabilities,so as to grasp the development trend of infor-mation technology and build a new operational support capability.[Method]Employing a systematic analysis approach,this study first de-lineates the driving forces behind this transformation from three interconnected dimensions:institutional strategy,operational requirements,and the technological ecosystem.It then proceeds to deconstruct the core technical architecture enabling this shift.This architecture is built upon three pillars:establishing a standardized data foundation through multi-modal fusion;achieving a cognitive leap from precise target recognition to activity-based forecasting via deep AI empowerment;and fostering an agile,scalable ecosystem for continuous innovation through an open architecture.The analysis is substantiated with empirical cases,including the Maven Smart System(MSS),the Broad Area Search-Targeting(BAS-T)project,and applications observed in the Russia-Ukraine conflict.[Result/Conclusion]The research concludes that the intelligent transformation of U.S.military GEOINT constitutes a systematic engineering endeavor with the paramount objective of securing decision advantage.This practice exemplifies the intrinsic evolution of intelligence systems from merely describing the battlefield to actively shaping it.Future research should focus on tracking the integration of emerging technologies such as generative AI and digital twins into GEOINT,thereby offering more prospective and strategic theoretical insights.