Multispectral image segmentation using the rough-set-initialized EM algorithm

@article{Pal2002MultispectralIS,
  title={Multispectral image segmentation using the rough-set-initialized EM algorithm},
  author={Sankar K. Pal and Pabitra Mitra},
  journal={IEEE Trans. Geoscience and Remote Sensing},
  year={2002},
  volume={40},
  pages={2495-2501}
}
The problem of segmentation of multispectral satellite images is addressed. An integration of rough-set-theoretic knowledge extraction, the Expectation Maximization (EM) algorithm, and minimal spanning tree (MST) clustering is described. EM provides the statistical model of the data and handles the associated measurement and representation uncertainties. Rough-set theory helps in faster convergence and in avoiding the local minima problem, thereby enhancing the performance of EM. For rough-set… CONTINUE READING
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