title: A review of data fusion techniques.
abstract: 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.
authors.affiliation: Deusto Institute of Technology, DeustoTech, University of Deusto, Avenida de las Universidades 24, 48007 Bilbao, Spain.
authors.forename: Federico
authors.initials: F
authors.lastname: Castanedo
mesh_terms: D000465:Algorithms; D001330:Electronic Data Processing / Q000379:methods*