GENERAL ENQUIRIES: Tel: + 27 12 841 2911 | Email:

Browsing by Author "Lunga, D"

Sort by: Order: Results:

  • Zhang, Y; Yangz, HL; Lunga, D; Prasad, S; Crawford, M (2014-06)
    Manifold learning techniques have demonstrated various levels of success in their ability to represent spectral signature characteristics in hyperspectral imagery. Such images consists of spectral features with very subtle ...
  • Lunga, D; Ersoy, O (IEEE Xplore, 2012-07)
    In hyperspectral imagery, low-dimensional representations are sought in order to explain well the nonlinear characteristics that are hidden in high-dimensional spectral channels. While many algorithms have been proposed ...