We introduce a novel collection planning and orchestration framework called Cognitive Tip and Cue (CTC). CTC consists of three components: a natural language processing module that extracts entities and collection intent from free-text, a sensor recommendation module that scores sensors modalities based on collection parameters and environmental context, and an optimization module that uses a multi-objective genetic algorithm to evolve optimal data provider selections. CTC learns an association between intelligence, surveillance and reconnaissance needs and the historical performance of similar requests. We demonstrate that CTC generates collection plans that appropriately account for collection constraints while selecting data providers that align with tradecraft intuition.

© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

Christopher M. Cerezo Falco, Jacob A. Carroll, Robert W. Alekel, Jonathan C. Brant, Timothy J. Berrill, and Zachary Rahn, "Cognitive tip and cue: a novel framework for intelligent automated collection planning," Proc. SPIE 12525, Geospatial Informatics XIII , 125250E (Presented at SPIE Defense + Commercial Sensing: May 04, 2023; Published: 15 June 2023); https://doi.org/10.1117/12.2662841.