DASDAF DASDAF is a pattern recognition paradigm that combines sensor data and contextual scenario information to form an accurate picture of a battlespace or target Features Exploits prior & learned knowledge of target attributes Supports embedded processing implementations Dynamically adaptive and  learns from experience Employs highly efficient, parallel operations Fully Discloses Pattern Matching Process & Results Benefits Parallel application of multiple classifiers to RADAR and/or EO/IR sensor data to identify probable target type/ track/location Solution for problems related to dynamic data fusion, automatic target classification, and pattern recognition in disparate multi-sensor video imagery/data. Applicable to any sensor output that can be represented as a set of numerical values regardless of sensor type, data format, or data compression   About Dynamic Adaptive Sensor Data Fusion Dynamic Adaptive Sensor Data Fusion Features