Abstract: A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.

Abstract: A method of fusing sensor detection probabilities. The fusing of detection probabilities may allow a first force to detect an imminent threat from a second force, with enough time to counter the threat. The detection probabilities may include accuracy probability of one or more sensors and an available time probability of the one or more sensors. The detection probabilities allow a determination of accuracy of intelligence gathered by each of the sensors. Also, the detection probabilities allow a determination of a probable benefit of an additional platform, sensor, or processing method. The detection probabilities allow a system or mission analyst to quickly decompose a problem space and build a detailed analysis of a scenario under different conditions including technology and environmental factors.

Abstract: A system and method for detecting a group of interest from travel information based on a suspect traveler and a co-travel count threshold. The system comprises a database comprised of traveler names, each having respective destinations and corresponding travel dates, and a detection module in communication with the database. The detection module is operable to search the database to determine traveler names having a co-travel count based on the suspect traveler, form a co-travel group based on traveler names having respective co-travel counts greater than or equal to the co-travel count threshold, determine co-travel within said co-travel group, identify cliques within said co-travel group based on said co-travel, and determine the maximal clique thereby detecting the group of interest. The method involves providing a co-travel count threshold, selecting a suspect traveler, and, based on such, detecting a group of interest from travel information.