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Summary: 1860 IEEE TRANSACTIONS ON IMAGE PROCESSING, VOL. 14, NO. 11, NOVEMBER 2005
Super-Resolution Reconstruction
of Hyperspectral Images
Toygar Akgun, Student Member, IEEE, Yucel Altunbasak, Senior Member, IEEE, and
Russell M. Mersereau, Fellow, IEEE
Abstract--Hyperspectral images are used for aerial and
space imagery applications, including target detection, tracking,
agricultural, and natural resource exploration. Unfortunately,
atmospheric scattering, secondary illumination, changing viewing
angles, and sensor noise degrade the quality of these images.
Improving their resolution has a high payoff, but applying super-
resolution techniques separately to every spectral band is prob-
lematic for two main reasons. First, the number of spectral bands
can be in the hundreds, which increases the computational load
excessively. Second, considering the bands separately does not
make use of the information that is present across them. Fur-
thermore, separate band super resolution does not make use of
the inherent low dimensionality of the spectral data, which can
effectively be used to improve the robustness against noise. In
this paper, we introduce a novel super-resolution method for
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