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Proceedings Paper

A novel method for illumination suppression in hyperspectral images
Author(s): Edward A. Ashton; Brian D. Wemett; Robert A. Leathers; Trijntje V. Downes
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Paper Abstract

We have proposed a new method for illumination suppression in hyperspectral image data. This involves transforming the data into a hyperspherical coordinate system, segmenting the data cloud into a large number of classes according to the radius dimension, and then demeaning each class, thereby eliminating the distortion introduced by differential absorption in shaded regions. This method was evaluated against two other illumination-suppression methods using two metrics: visual assessment and spectral similarity of similar materials in shaded and fully illuminated regions. The proposed method shows markedly superior performance by each of these metrics.

Paper Details

Date Published: 14 April 2008
PDF: 8 pages
Proc. SPIE 6966, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV, 69660C (14 April 2008); doi: 10.1117/12.777153
Show Author Affiliations
Edward A. Ashton, VirtualScopics, Inc. (United States)
Brian D. Wemett, VirtualScopics, Inc. (United States)
Robert A. Leathers, Naval Research Lab. (United States)
Trijntje V. Downes, Naval Research Lab. (United States)


Published in SPIE Proceedings Vol. 6966:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery XIV
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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