Category Theory Approach to Fusion of Wavelet-Based Features

This paper discusses the application of category theory as a unifying concept for formally developed information fusion systems. Category theory is a mathematically sound technique used to capture the commonalties and relationships between objects. This feature makes category theory a very elegant language for describing information fusion systems and the information fusion process itself. After an initial overview of category theory, the paper investigates the application of category theory to a wavelet based multisensor target recognition system, the Automatic Multisensor Feature-based Recognition System (AMFRS), which was originally developed using formal methods.