A knowledge-based sensor fusion editor

A general-purpose sensor fusion editor is presented. It allows for the customization of fusion algorithms and features for later real-time implementation, helps carry out exploratory offline fusion analysis tasks, and serves as a testbed for a fusion interpretation workstation. The sensor fusion editor essentially implements as an integrated environment a library of object-oriented methods and classes for carrying out the three-level sensor fusion knowledge representation and the standard sensor fusion tasks, such as registration, combination, clustering, explanation, etc., on data fields, images, maps, signals, and image sequences. The three knowledge representation levels are each supplemented by a set of transformation methods, helping in deriving attributes for analysis at the other levels, and of knowledge-based search methods (rule-based)