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Landcover classification in MRF context using Dempster-Shafer Fusion for multisensor imagery
- Source :
- IEEE Transactions on Image Processing. May, 2005, Vol. 14 Issue 5, p634, 12 p.
- Publication Year :
- 2005
-
Abstract
- The role of feature-level fusion using the Dempster-Shafer rule and that of the data-level fusion in the Markov random field (MRF) context is studied to obtain an optimally segmented image. Subsequently, segments are validated, and classification accuracy for the test data is evaluated.
Details
- Language :
- English
- ISSN :
- 10577149
- Volume :
- 14
- Issue :
- 5
- Database :
- Gale General OneFile
- Journal :
- IEEE Transactions on Image Processing
- Publication Type :
- Academic Journal
- Accession number :
- edsgcl.133999449