Describing data fusion using category theory

The process of multi-sensor data fusion and its taronomy is abstracted and described in the language of category theory. Categories are developed for sensors, data sets, processors, feature sets, classifiers, and label sets. Fusion rules are defined and shown to hold a unique role within the various categories. Fusion processes can then be described as the optimization affusion des within rhe appropriate categorj