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Proceedings Paper

Representing hyperspectral textures using opponent features
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Paper Abstract

We introduce a representation for hyperspectral textures using unichrome and opponent features computed from Gabor filter outputs. The unichrome features are computed from the spectral bands independently while the opponent features combine information across different bands at different scales. Using a database of AVIRIS image regions, we evaluate the performance of the multiscale approach using opponent features for recognizing hyperspectral textures.

Paper Details

Date Published: 2 August 2002
PDF: 9 pages
Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); doi: 10.1117/12.478775
Show Author Affiliations
Miaohong Shi, Univ. of California/Irvine (United States)
Glenn Healey, Univ. of California/Irvine (United States)


Published in SPIE Proceedings Vol. 4725:
Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII
Sylvia S. Shen; Paul E. Lewis, Editor(s)

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