On The Spectral Correlation Structure of Hyperspectral Imaging Data

  title={On The Spectral Correlation Structure of Hyperspectral Imaging Data},
  author={Dimitris Manolakis and Ronald B. Lockwood and Thomas W. Cooley},
  journal={IGARSS 2008 - 2008 IEEE International Geoscience and Remote Sensing Symposium},
Spectral correlation, as quantified by the elements of the covariance matrix, plays a prominent role in the development of optimum statistical algorithms for hyperspectral data exploitation. Indeed, the most useful statistical models for hyperspectral image modeling, namely the multivariate normal distribution and the multivariate t-distribution, are parameterized by the spectral covariance matrix. The inverse of the covariance matrix, however, also has important interpretations. In this paper… CONTINUE READING

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