DocumentCode
1935689
Title
Comparison and improvement of Dempster-Shafer models
Author
Abdellatif, B. ; Boudraa, A.O. ; Osswald, C. ; Boucher, JM
Author_Institution
Nat. Authority for Remote Sensing & Space Sci., Cairo, Egypt
fYear
2011
fDate
19-21 Sept. 2011
Firstpage
1
Lastpage
5
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.
Keywords
inference mechanisms; pattern classification; sensor fusion; Dempster-Shafer models; classification algorithms; evidence theory; landsat MSS data; landsat multispectral scanner; multisensor data fusion; Accuracy; Bayesian methods; Earth; Probabilistic logic; Remote sensing; Satellites; Training;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent Signal Processing (WISP), 2011 IEEE 7th International Symposium on
Conference_Location
Floriana
Print_ISBN
978-1-4577-1403-0
Type
conf
DOI
10.1109/WISP.2011.6051696
Filename
6051696
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