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Proceedings Paper

Principal component analysis in limited-angle chromotomography
Author(s): Jonathan Martin Mooney; Andrzej K. Brodzik; Myoung Hee An
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Paper Abstract

Chromotomographic spectral imaging techniques offer high spatial resolution, moderate spectral resolution and high optical throughput. However, the performance of chromotomographic systems has historically been limited by the artifacts introduced by a cone of missing information. The recent successful application of principal component analysis to spectral imagery indicates that spectral imagery is inherently redundant. We have developed an iterative technique for filling in the missing cone that relies on this redundance. We demonstrate the effectiveness of our approach on measured data, and compare the results to those obtained with a scanned slit configuration.

Paper Details

Date Published: 31 October 1997
PDF: 9 pages
Proc. SPIE 3118, Imaging Spectrometry III, (31 October 1997); doi: 10.1117/12.283825
Show Author Affiliations
Jonathan Martin Mooney, Air Force Research Lab. (United States)
Andrzej K. Brodzik, Scientific Software (United States)
Myoung Hee An, Solid State Scientific Co. (United States)

Published in SPIE Proceedings Vol. 3118:
Imaging Spectrometry III
Michael R. Descour; Sylvia S. Shen, Editor(s)

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