Information Fusion for Port Security Decision Support

Information Fusion combines data from multiple sources with different characteristics and aggregates it to increase the total content of information. One can thus extract information not available from each source individually. One goal of information fusion is that the user should receive a better situation awareness to be able to create their own situation understanding. Another goal is to use the information to support automatic or human decision making. Model-based fusion, data is collected and matched to elements of known models. Data-driven fusion, on the other hand, is similar to data mining in that it tries to automatically construct situation models.