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Proceedings Paper

Algorithm for de-shadowing spectral imagery
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Paper Abstract

A new matched filter-based algorithm has been developed for detecting and approximately correcting for shadows or other illumination variations in spectral imagery. Initial evaluations have been conducted with a handful of data cubes, including AVIRIS data. The de-shadowed images have a generally realistic appearance and reveal a wealth of previously hidden surface details.

Paper Details

Date Published: 8 November 2002
PDF: 8 pages
Proc. SPIE 4816, Imaging Spectrometry VIII, (8 November 2002); doi: 10.1117/12.451691
Show Author Affiliations
Steven M. Adler-Golden, Spectral Sciences, Inc. (United States)
Michael W. Matthew, Air Force Research Lab. (United States)
Gail P. Anderson, Air Force Research Lab. (United States)
Gerald W. Felde, Air Force Research Lab. (United States)
James A. Gardner, Univ. of Arizona (United States)

Published in SPIE Proceedings Vol. 4816:
Imaging Spectrometry VIII
Sylvia S. Shen, Editor(s)

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