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

@inproceedings{Sarkar2004AMB,
  title={A MRF Based Segmentatiom Approach to Classification Using Dempster Shafer Fusion for Multisensor Imagery},
  author={Anjan Sarkar and Nilanjan Banerjee and P. Nair and Anjan Banerjee and Siddhartha Brahma and B. Kartikeyan and Kantilal L. Majumder},
  booktitle={ICIAR},
  year={2004}
}
A technique has been suggested for multisensor data fusion to obtain landcover classification. It takes care of feature level fusion with Dempster-Shafer rule and data level fusion with Markov Random Field model based approach vis-a-vis for determining the optimal segmenta- tion. Subsequently, segments are validated and classification accuracy for the test data is evaluated. Two illustrations of data fusion of optical images and a Synthetic Aperture Radar (SAR) image is presented and accuracy… CONTINUE READING
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