Multispectral image characterization by partial generalized covariance

  title={Multispectral image characterization by partial generalized covariance},
  author={Marc Strickert and Bj{\"o}rn Labitzke and Andreas Kolb and Thomas Villmann},
Abstract. A general method is presented for the assessment of data attribute variability, which plays an important role in initial screening of multiand high-dimensional data sets. Instead of the commonly used second centralized moment, known as variance, the proposed method allows a mathematically rigorous characterization of attribute sensitivity given not only Euclidean distances but partial data comparisons by general similarity measures. Depending on the choice of measure different… CONTINUE READING

From This Paper

Figures, tables, and topics from this paper.

Similar Papers

Loading similar papers…