Cueing recognition and tracking using multisensor fusion in precision stabilized airborne platforms

摘要

This paper will discuss the development of an automated cueing, recognition and tracking system. The concept of multi-sensor integration and information fusion is shown embodied in the hierarchical architecture of information systems. A neural network paradigm is used for the classification of the objects- of-interest. Finally target tracking, the last step in the surveillance technology, is discussed.