Unsupervised Hyperspectral Band Selection by Dominant Set Extraction

@article{Zhu2016UnsupervisedHB,
  title={Unsupervised Hyperspectral Band Selection by Dominant Set Extraction},
  author={Guokang Zhu and Yuancheng Huang and Jingsheng Lei and Zhongqin Bi and Feifei Xu},
  journal={IEEE Transactions on Geoscience and Remote Sensing},
  year={2016},
  volume={54},
  pages={227-239}
}
Unsupervised hyperspectral band selection has been an important topic in hyperspectral imagery. This technique aims at selecting some critical and decisive spectral bands from an original image for compact representation without compromising and distorting the raw information in the relevant spectral bands. Although many efforts have been made to this topic, the structural information has not yet been well exploited during band selection, and there are still several deficiencies in search… CONTINUE READING
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