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Landcover classification in MRF context using Dempster-Shafer fusion for multisensor imagery

A. Sarkar, A. Banerjee, N. Banerjee, S. Brahma, B. Kartikeyan, M. Chakraborty, K.L. Majumder
2005 IEEE Transactions on Image Processing  
The role of feature-level fusion using the Dempster-Shafer rule and that of data-level fusion in the MRF context is studied in this paper to obtain an optimally segmented image.  ...  This work deals with multisensor data fusion to obtain landcover classification.  ...  ACKNOWLEDGMENT The authors would like to thank the referees for their useful comments and suggestions.  ... 
doi:10.1109/tip.2005.846032 pmid:15887558 fatcat:my352skjnba67pfld4mdyzjcya

A MRF Based Segmentatiom Approach to Classification Using Dempster Shafer Fusion for Multisensor Imagery [chapter]

A. Sarkar, N. Banerjee, P. Nair, A. Banerjee, S. Brahma, B. Kartikeyan, K. L. Majumder
2004 Lecture Notes in Computer Science  
A technique has been suggested for multisensor data fusion to obtain landcover classification.  ...  Index Terms-Dempster-Shafer Theory, Hotelling's T 2 , Markov Random Field(MRF), Fisher's discriminant.  ...  The role of feature level fusion using Dempster-Shafer(DS) rule and that of data level fusion in MRF context have been studied in this work to obtain an optimal segmented image.  ... 
doi:10.1007/978-3-540-30126-4_52 fatcat:yvzcnkzjajcfpffl2xqdzbu7ke