A Bilinear–Bilinear Nonnegative Matrix Factorization Method for Hyperspectral Unmixing

@article{Eches2014ABN,
  title={A Bilinear–Bilinear Nonnegative Matrix Factorization Method for Hyperspectral Unmixing},
  author={Olivier Eches and Mireille Guillaume},
  journal={IEEE Geoscience and Remote Sensing Letters},
  year={2014},
  volume={11},
  pages={778-782}
}
Spectral unmixing of hyperspectral images consists of estimating pure material spectra with their corresponding proportions (or abundances). Nonlinear mixing models for spectral unmixing are of very recent interest within the signal and image processing community. This letter proposes a new nonlinear unmixing approach using the Fan bilinear-bilinear model and nonnegative matrix factorization method that takes into account physical constraints on spectra (positivity) and abundances (positivity… CONTINUE READING

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References

Publications referenced by this paper.
SHOWING 1-10 OF 25 REFERENCES

Vertex component analysis: a fast algorithm to unmix hyperspectral data

  • IEEE Transactions on Geoscience and Remote Sensing
  • 2005
VIEW 8 EXCERPTS
HIGHLY INFLUENTIAL

Unmixing hyperspectral images using the generalized bilinear model

  • 2011 IEEE International Geoscience and Remote Sensing Symposium
  • 2011
VIEW 4 EXCERPTS
HIGHLY INFLUENTIAL

Robust hyperspectral data unmixing with spatial and spectral regularized NMF

  • 2010 2nd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing
  • 2010
VIEW 5 EXCERPTS
HIGHLY INFLUENTIAL

Hyperspectral Unmixing Overview: Geometrical, Statistical, and Sparse Regression-Based Approaches

  • IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
  • 2012
VIEW 1 EXCERPT

Mapping intimate mixtures using an adaptive kernel-based technique

  • 2011 3rd Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS)
  • 2011
VIEW 1 EXCERPT

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