A hyperspectral image restoration technique

Authors:
Yifan Zhang;Arno Duijster;Paul Scheunders
Affiliations:
IBBT, Vision Lab, Department of Physics, University of Antwerp, Wilrijk, Belgium;IBBT, Vision Lab, Department of Physics, University of Antwerp, Wilrijk, Belgium;IBBT, Vision Lab, Department of Physics, University of Antwerp, Wilrijk, Belgium
Venue:
ICIP'09 Proceedings of the 16th IEEE international conference on Image processing
Year:
2009

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Abstract

In this paper, a restoration technique for hyperspectral images is presented. The technique requires a low spatial resolution hyperspectral image and a high spatial resolution multispectral image of the same scene. The proposed approach applies a restoration on the hyperspectral image, while accounting for the joint statistics with the multispectral image. The restoration is based on an Expectation-Maximization algorithm, which applies a deconvolution step and a denoising step iteratively. A practical implementation scheme is presented. Simulation experiments are conducted for performance evaluation.