1994
DOI: 10.1016/0967-0661(94)90345-x
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Preface to the special section on data fusion: Architectures and issues

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Cited by 7 publications
(2 citation statements)
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“…Background Data fusion is "a process of combining inputs from sensors with information from other sensors, information processing blocks, databases, or knowledge bases, into one representational format" [8]. Defence applications have provided much of the driving force for the development of data fusion techniques, with published examples including establishing the friend-or-foe nature of an incoming missile or aeroplane, predicting the range and direction of a battlefield target, and navigating an un-manned armoured vehicle.…”
Section: Data Fusionmentioning
confidence: 99%
“…Background Data fusion is "a process of combining inputs from sensors with information from other sensors, information processing blocks, databases, or knowledge bases, into one representational format" [8]. Defence applications have provided much of the driving force for the development of data fusion techniques, with published examples including establishing the friend-or-foe nature of an incoming missile or aeroplane, predicting the range and direction of a battlefield target, and navigating an un-manned armoured vehicle.…”
Section: Data Fusionmentioning
confidence: 99%
“…Introduction to Data Fusion. Data fusion is the generic name given to a range of techniques for combining different sources of information into a single decision function that can provide better estimates, in this case of bioactivity, than can the individual sources. ,, These techniques have been developed for use in situations where several different sensors evaluate a situation and then assign values to attributes describing that situation. Data fusion takes place when these individual evaluations are combined in some way to arrive at a final, overall decision that is expected to provide a more reliable judgment of the current situation than can the individual systems that have been combined.…”
Section: Combination Of Similarity Measures By Data Fusionmentioning
confidence: 99%