Comparison and improvement of Dempster-Shafer models

Comparison and improvement of Dempster-Shafer models

In this paper, a performance comparison of different classification algorithms based on the evidence theory of Dempster-Shafer will be presented. The comparison is illustrated on Landsat Multispectral Scanner (Landsat MSS) data whose ground truth is provided. A modification of the Denoeux's mod...

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Bibliographische Detailangaben
Hauptverfasser: Abdellatif, B., Boudraa, A. O., Osswald, C., Boucher, J. M.
Format: Tagungsbericht
Sprache:eng
Schlagworte:
Accuracy
Bayesian methods
Earth
Probabilistic logic
Remote sensing
Satellites
Training
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Beschreibung
Zusammenfassung:In this paper, a performance comparison of different classification algorithms based on the evidence theory of Dempster-Shafer will be presented. The comparison is illustrated on Landsat Multispectral Scanner (Landsat MSS) data whose ground truth is provided. A modification of the Denoeux's model [1] is proposed showing better and more stable classification results of the Landsat MSS data.
DOI:10.1109/WISP.2011.6051696