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Summary: SUPERRESOLUTION RECONSTRUCTION OF HYPERSPECTRAL IMAGES
Toygar Akgun, Yucel Altunbasak, Russell M. Mersereau
Center for Signal and Image Processing
Georgia Institute of Technology
Atlanta, Georgia, 30332-0250
Email: {takgun,yucel,rmm}@ece.gatech.edu
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. In
this paper we introduce a novel superresolution reconstruc-
tion method for hyperspectral images. An integral part of
our work is to model the hyperspectral image acquisition
process. We propose a model that enables us to represent
the hyperspectral observations from different wavelengths
as weighted linear combinations of a small number of basis
image planes. Then a method for applying superresolution
to hyperspectral images using this model is presented. The
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