Hyperspectral Band Selection via Rank Minimization

@article{Zhu2017HyperspectralBS,
  title={Hyperspectral Band Selection via Rank Minimization},
  author={Guokang Zhu and Yuancheng Huang and Shuiying Li and Jun Tang and Dong Liang},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2017},
  volume={14},
  pages={2320-2324}
}
Band selection is an important preprocessing technique for hyperspectral imagery, through which a subset of critical and representative spectral bands can be selected from a raw image cube for compact yet effect representation. Among the valid selection strategies, performing band selection in an unsupervised manner is usually considered more general due to its application-independent characteristic. This letter proposed a novel unsupervised hyperspectral band selector that can capture the… CONTINUE READING

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