Hybrid consensus theoretic classification

Hybrid classification methods based on consensus from several data sources are considered. Each data source is at first treated separately and modeled using statistical methods. Then weighting mechanisms are used to control the influence of each data source in the combined classification. The weight...

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Veröffentlicht in:	IEEE transactions on geoscience and remote sensing 1997-07, Vol.35 (4), p.833-843
Hauptverfasser:	Benediktsson, J.A., Sveinsson, J.R., Swain, P.H.
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification tree analysis Computational efficiency Data mining Fuzzy logic Neural networks Optimization methods Radar remote sensing Remote sensing Statistical analysis Testing
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