Borders are extremely vulnerable and prone to terrorist attacks, smuggling and illegal immigration. To achieve enhanced situation awareness it is necessary to fuse sensor and information data. By automated fusion of referenced and associated data an aggregation of raw sensor data is achieved.Within the project SOBCAH (Surveillance of Borders, Coastlines and Harbors), an architecture was developed and tested that supports the sharing of information from heterogeneous sources. Additionally techniques of data fusion within video data were used to enhance information and provide operators with relevant details of an event.

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