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Comparison and improvement of Dempster-Shafer models

  • B. Abdellatif
  • , A. O. Boudraa
  • , C. Osswald
  • , J. M. Boucher
  • National Authority for Remote Sensing and Space Sciences
  • Institut Mines-Telecom
  • ENST Bretagne
  • Naval Academy Research Institute - IRENAV CC600

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

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.

Original languageEnglish
Title of host publicationWISP 2011 - IEEE International Symposium on Intelligent Signal Processing, Proceedings
Pages20-24
Number of pages5
DOIs
Publication statusPublished - 16 Nov 2011
Event7th IEEE International Symposium on Intelligent Signal Processing, WISP 2011 - Floriana, Malta
Duration: 19 Sept 2011 → 21 Sept 2011

Publication series

NameWISP 2011 - IEEE International Symposium on Intelligent Signal Processing, Proceedings

Conference

Conference7th IEEE International Symposium on Intelligent Signal Processing, WISP 2011
Country/TerritoryMalta
CityFloriana
Period19/09/11 → 21/09/11

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