Hyperspectral Band Selection Based on Trivariate Mutual Information and Clonal Selection

@article{Feng2014HyperspectralBS,
  title={Hyperspectral Band Selection Based on Trivariate Mutual Information and Clonal Selection},
  author={Jie Feng and Licheng Jiao and Xiangrong Zhang and Tao Sun},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2014},
  volume={52},
  pages={4092-4105}
}
Band selection is an important preprocessing step for hyperspectral data processing. It involves two crucial problems, i.e., suitable measure criterion and effective search strategy. Mutual information (MI) has been widely used as the measure criterion for its nonlinear and nonparametric characteristics. For efficient calculation, traditional MI-based criteria commonly use bivariate MI (BMI) to approximate the ideal MI-based criterion. However, these BMI-based criteria may miss the bands having… CONTINUE READING
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