A Review of Data Fusion Techniques

A Review of Data Fusion Techniques

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...

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Main Author: Federico Castanedo
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:The Scientific World Journal
Online Access:http://dx.doi.org/10.1155/2013/704504
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spelling doaj-ad5a3819b86b433687de1165eed70a6f2020-11-25T00:49:46ZengHindawi LimitedThe Scientific World Journal1537-744X2013-01-01201310.1155/2013/704504704504A Review of Data Fusion TechniquesFederico Castanedo0Deusto Institute of Technology, DeustoTech, University of Deusto, Avenida de las Universidades 24, 48007 Bilbao, SpainThe 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.http://dx.doi.org/10.1155/2013/704504
collection DOAJ
language English
format Article
sources DOAJ
author Federico Castanedo
spellingShingle Federico Castanedo
A Review of Data Fusion Techniques
The Scientific World Journal
author_facet Federico Castanedo
author_sort Federico Castanedo
title A Review of Data Fusion Techniques
title_short A Review of Data Fusion Techniques
title_full A Review of Data Fusion Techniques
title_fullStr A Review of Data Fusion Techniques
title_full_unstemmed A Review of Data Fusion Techniques
title_sort review of data fusion techniques
publisher Hindawi Limited
series The Scientific World Journal
issn 1537-744X
publishDate 2013-01-01
description 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.
url http://dx.doi.org/10.1155/2013/704504
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