Spectral unmixing

@inproceedings{Keshava2002SpectralU,
  title={Spectral unmixing},
  author={N. Keshava and John F. Mustard},
  year={2002}
}
Spectral unmixing using hyperspectral data represents a significant step in the evolution of remote decompositional analysis that began with multispectral sensing. It is a consequence of collecting data in greater and greater quantities and the desire to extract more detailed information about the material composition of surfaces. Linear mixing is the key assumption that has permitted well-known algorithms to be adapted to the unmixing problem. In fact, the resemblance of the linear mixing… CONTINUE READING

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