Band selection based on evolution algorithm and sequential search for hyperspectral classification

@article{Huang2008BandSB,
  title={Band selection based on evolution algorithm and sequential search for hyperspectral classification},
  author={Rui Huang and Xianhua Li},
  journal={2008 International Conference on Audio, Language and Image Processing},
  year={2008},
  pages={1270-1273}
}
Band (feature) selection for multispectral or hyperspectral data is an effective method to reduce dimension for cutting down the computational cost and alleviating the Hughes phenomenon. An efficient feature selection method based on evolution algorithm (PSO and GA) and sequential search is proposed. The method embeds the sequential search into the evolution optimization for better ability of the fine tune in local search space and thus behaves well in both global and local cases. In addition… CONTINUE READING

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