An innovative methodology has been developed, based on the state-of-the-art interactive data acquisition, image processing and segmentation analysis. In phase i we shall undertake to carry out a proof-of-concept study to demonstrate the feasibility of using pattern recognition techniques to analyze multi-sensor inputs and extract the target information. As a result we propose to develop and test a comprehensive automated inflight tracking system, which be combining a priori target information, computer graphics methods, and signal processing techniques is capable of injesting multisensor input streams and of producing three-dimension image, six dimensional data (position and attitude), as well as accurate reconstruction of a six-dimensional target trajectory (position and attitude as a function of time).