In defense of iterated conditional mode for hyperspectral image classification

  title={In defense of iterated conditional mode for hyperspectral image classification},
  author={Jianzhe Lin and Qi Wang and Yuan Yuan},
  journal={2014 IEEE International Conference on Multimedia and Expo (ICME)},
Hyperspectral image classification is one of the most significant topics in remote sensing. A large number of methods have been proposed to improve the classification accuracy. However, the improvement often comes at the cost of higher complexity. In this work, we mainly focus on the Markov Random Fields related paradigm, which involves a demanding energy minimization procedure. Traditional methods are prone to employ the advanced optimization techniques. On the contrary, this paper is in… CONTINUE READING
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