Abstract:
In this study, a variety of recent proposed spatial
and spectral processing methods for hyperspectral imagery is reviewed
and several important aspects of super-resolution problems and challenges
are presented. The inherent variability in target and background spectra
in hyperspectral imagery, the problem of high dimensionality of hyperspectral
data in hyperspectral image classification, limitation in application
of learning-based methods and the question of an optimal resolution factor
for an arbitrary set of images, are some of the main challenges in this
field.
Fereidoun A. Mianji, Ye Zhang, Humayun Karim Sulehria, Asad Babakhani and Mohammad Reza Kardan, 2008. Super-Resolution Challenges in Hyperspectral Imagery. Information Technology Journal, 7: 1030-1036.
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