Intelligence fusion
S. Martin dit Neuville · 2002
This paper aims at presenting the principles of intelligence fusion, and particularly behaviour modelling techniques and the associated fundamental techniques (temporal data modelling, fuzzy and competitive data modelling). We concentrate in the following text on symbolic fusion techniques, that is fusion processes applied at the level of intelligence cells. We first present the main differences between numerical and symbolic fusion, then give an overview of the main components of an intelligence fusion system. In the second part, we describe a templating environment which has been developed and successfully integrated in fielded prototypes by Thomson-CSF Communications.