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Proceedings Paper

Data restoration in chromotomographic hyperspectral imaging
Author(s): Myoung Hee An; Andrzej K. Brodzik; Jonathan Martin Mooney; Richard Tolimieri
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Paper Abstract

Recently, a new approach to hyperspectral imaging, relying on the theory of computed tomography, was proposed by researchers at the Air Force Research Laboratory. The approach allows all photons to be recorded and therefore increases robustness of the imaging system to noise and focal plane array non-uniformities. However, as all computed tomography systems, the approach suffers form the limited angle problem, which obstructs reconstruction of the hyperspectral information. In this work we present a direct, one-step algorithm for reconstruction of the unknown information based on a priori knowledge about the hyperspectral image.

Paper Details

Date Published: 16 November 2000
PDF: 12 pages
Proc. SPIE 4123, Image Reconstruction from Incomplete Data, (16 November 2000); doi: 10.1117/12.409266
Show Author Affiliations
Myoung Hee An, Psypher, Inc. (United States)
Andrzej K. Brodzik, Solid State Scientific Corp. (United States)
Jonathan Martin Mooney, Air Force Research Lab. (United States)
Richard Tolimieri, Psypher, Inc. (United States)

Published in SPIE Proceedings Vol. 4123:
Image Reconstruction from Incomplete Data
Michael A. Fiddy; Rick P. Millane, Editor(s)

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