Training Courses: Data/ Information Fusion and Analytics
Three-to-five day courses and worshops in advanced sensing and information exploitation topics are presented. These have been given to diverse military, Intelligence and industrial organizations in the U.S. and abroad. Classified versions of most of these courses can be given as appropriate.
Multi-Sensor Data Fusion
A thorough presentation of all aspects of information exploitation, including state-of the art techniques. The course is designed to help participants identify and characterize the principal components of military data and information fusion systems; to learn the state-of the art in multi-sensor integration, in target tracking, identification and situation/threat assessment; and select fusion techniques appropriate to system and mission needs. Compares and contrasts techniques for uncertainty management, data alignment, data association for all fusion levels and for distributed fusion in network-centric System-of Systems. Also test and evaluation of multi-sensor systems.
Situation and Threat Assessment
Presents modern methods for predicting, detecting, assessing, tracking, and prosecuting threat activity. Fundamental concepts and issues are introduced, to include ontological, syntactical, and graph theoretical methods in situation and threat assessment. Modern methods to dealing with incompletely or poorly modeled targets are discussed: recognition-based, anomaly-based, inductive and abductive methods.Powerful adaptive methods for evidence accrual and exploitation are presented as is the use of context, “human terrain” and human source characterization.
Automated Target Recognition
Presents developments in automated and semi-automated methods for combat ID and target recognition for military, intelligence and civil applications. Discusses opportunities and issues in various imaging modalities – E-O, IR, Multi- and Hyperspectral Imagery, Full-Motion Video, HRR, SAR, ISAR – as well as non-image data Techniques are discussed for feature extraction and exploitation of metric, radiometric, dynamic and relational features, to include both literal and induced features. Modern methods to dealing with incompletely or poorly modeled targets are discussed: recognition-based, anomaly-based, inductive and abductive methods.