Numerical restoration of hyperspectral datacubes in tomographic imaging spectroscopic instruments

Harvey C. Schau

doi:10.1117/12.541718

12 August 2004 Numerical restoration of hyperspectral datacubes in tomographic imaging spectroscopic instruments

Harvey C. Schau

Author Affiliations +

Proceedings Volume 5425, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X; (2004) https://doi.org/10.1117/12.541718
Event: Defense and Security, 2004, Orlando, Florida, United States

Abstract

The operation of tomographic spectral imaging devices is analogous to problems in image restoration with similar restoration techniques. Generally the problem is cast as restoration of a sparse, singular kernel where both accuracy and computational speed are trade off issues. While there is much conventional wisdom concerning the ability to restore such systems, experience has shown that the situation is often less bleak than imagined. Results of the restoration of several tomographic instruments are presented with a series of improvements which are the result of both ad hoc numerical techniques and theoretical constraints. The influence of physical hardware on restoration results is discussed as well as counter intuitive lessons learned from a multi-year program to develop efficient restoration techniques for tomographic imaging spectrometers.

Citation Download Citation

Harvey C. Schau "Numerical restoration of hyperspectral datacubes in tomographic imaging spectroscopic instruments", Proc. SPIE 5425, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery X, (12 August 2004); https://doi.org/10.1117/12.541718

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