Methodologies for a Partial Frame Correlation of Multiple Sensors

An integrated picture of the ballistic missile defense battlespace is crucial for properly evaluating posed threats and executing an effective course of action. This integrated picture requires that advanced target identification, data fusion, and image registration techniques be employed to combine and correlate data from multiple sensors to obtain the best discrimination and tracking of threatening objects. Frontier Technology, Inc. (FTI) will leverage extensive and efficient modeling and track fusion approaches combined with GPU expertise to develop and demonstrate the feasibility of using partial frames in complex image correlations. This advance in technology will be directly applicable for the correlation of large, multiple sensor data streams. This Phase I effort extends FTI"s research into the fields of image processing, track fusion, and GPU computation.