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A Review of Data Fusion Techniques
by
Castanedo, Federico
in
Algorithms
/ Automatic Data Processing - methods
/ Classification
/ Data integration
/ Electronic data processing
/ Image retrieval
/ Methods
/ Military strategy
/ Multisensor fusion
/ Neural networks
/ Parameter estimation
/ Review
/ Semantics
/ Sensors
/ State estimation
/ Surveillance
2013
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A Review of Data Fusion Techniques
by
Castanedo, Federico
in
Algorithms
/ Automatic Data Processing - methods
/ Classification
/ Data integration
/ Electronic data processing
/ Image retrieval
/ Methods
/ Military strategy
/ Multisensor fusion
/ Neural networks
/ Parameter estimation
/ Review
/ Semantics
/ Sensors
/ State estimation
/ Surveillance
2013
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Do you wish to request the book?
A Review of Data Fusion Techniques
by
Castanedo, Federico
in
Algorithms
/ Automatic Data Processing - methods
/ Classification
/ Data integration
/ Electronic data processing
/ Image retrieval
/ Methods
/ Military strategy
/ Multisensor fusion
/ Neural networks
/ Parameter estimation
/ Review
/ Semantics
/ Sensors
/ State estimation
/ Surveillance
2013
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Journal Article
A Review of Data Fusion Techniques
2013
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Overview
The integration of data and knowledge from several sources is known as data fusion. This paper summarizes the state of the data fusion field and describes the most relevant studies. We first enumerate and explain different classification schemes for data fusion. Then, the most common algorithms are reviewed. These methods and algorithms are presented using three different categories: (i) data association, (ii) state estimation, and (iii) decision fusion.
Publisher
Hindawi Publishing Corporation,John Wiley & Sons, Inc,Hindawi Limited,Wiley
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