Todays fusion and tracking systems rely on sensor feeds and a-priori information to process and relate collected information. Little information is extracted from imagery data such as FLIR, SAR and EO; not enough emphasis is placed on sensor pedigree and confidence (uncertainty); and therefore networked Multi-INT sensors are not fully exploited. This proposal describes a process for combining emerging Multi-INT sensor fusion algorithms within a generic fusion exploitation framework to enhance the users battlespace awareness thru automated sensor data fusion and visualization. Potomac Fusions Fusion Exploitation Framework combines sensor information (collected using a community agreed upon standard) with a workflow that processes modular, integrated fusion algorithms that exploit SIGINT and imagery-based information to produce a more accurate picture of the threat. Using sensors that collect on various aspects of the problem such as
Keywords: Fusion Exploitation Framework, Multi-Int, Sensor Data Fusion, Pedigree, Uncertainty
