An Image-Based Endmember Bundle Extraction Algorithm Using Both Spatial and Spectral Information

@article{Xu2015AnIE,
  title={An Image-Based Endmember Bundle Extraction Algorithm Using Both Spatial and Spectral Information},
  author={Mingming Xu and Liangpei Zhang and Bo Du},
  journal={IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing},
  year={2015},
  volume={8},
  pages={2607-2617}
}
With the development of imaging technology, remote sensing images with a high spatial and spectral resolution have become available and have been used in various applications such as the identification of materials and the estimation of physical parameters. Although many endmember extraction algorithms have been proposed for hyperspectral data sets which extract/select the standard endmember spectrum for each existing endmember class or scene component, there are still some problems in… CONTINUE READING

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Integration of spatial–spectral information for the improved extraction of endmembers

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