Spatial/spectral endmember extraction by multidimensional morphological operations

@article{Plaza2002SpatialspectralEE,
  title={Spatial/spectral endmember extraction by multidimensional morphological operations},
  author={Antonio J. Plaza and Pablo Mart{\'i}nez and Rosa M. P{\'e}rez and Javier Plaza},
  journal={IEEE Trans. Geoscience and Remote Sensing},
  year={2002},
  volume={40},
  pages={2025-2041}
}
Spectral mixture analysis provides an efficient mechanism for the interpretation and classification of remotely sensed multidimensional imagery. It aims to identify a set of reference signatures (also known as endmembers) that can be used to model the reflectance spectrum at each pixel of the original image. Thus, the modeling is carried out as a linear combination of a finite number of ground components. Although spectral mixture models have proved to be appropriate for the purpose of large… CONTINUE READING

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