Advances in Multi-Sensor Information Fusion Theory and Applications 2017

The information fusion technique can integrate a large amount of data and knowledge representing the same real-world object and obtain a consistent, accurate and useful representation of that object. The data may be independent or redundant, and can be obtained by different sensors at the same time...

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Main Authors: JIN, Xue-Bo (Author), SUN, Shuli (Author), WEI, Hong (Author), YANG, Feng-Bao (Author)
Format: Ebooks
Published: MDPI - Multidisciplinary Digital Publishing Institute, 2018.
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100 1 0 |a JIN, Xue-Bo  |e author 
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700 1 0 |a YANG, Feng-Bao  |e author 
245 0 0 |a Advances in Multi-Sensor Information Fusion Theory and Applications 2017 
260 |b MDPI - Multidisciplinary Digital Publishing Institute,   |c 2018. 
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520 |a The information fusion technique can integrate a large amount of data and knowledge representing the same real-world object and obtain a consistent, accurate and useful representation of that object. The data may be independent or redundant, and can be obtained by different sensors at the same time or at different times. A suitable combination of investigative methods can substantially increase the profit of information in comparison with that from a single sensor. Multi-sensor information fusion has been a key issue in sensor research since the 1970s and it has been applied in many fields, such as geospatial information systems, business intelligence, oceanography, discovery science, intelligent transport systems, wireless sensor networks, etc. 
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