Paper
2 August 2002 Representing hyperspectral textures using opponent features
Author Affiliations +
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.
© (2002) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Miaohong Shi and Glenn Healey "Representing hyperspectral textures using opponent features", Proc. SPIE 4725, Algorithms and Technologies for Multispectral, Hyperspectral, and Ultraspectral Imagery VIII, (2 August 2002); https://doi.org/10.1117/12.478775
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KEYWORDS
Image filtering

Hyperspectral imaging

Image analysis

Image classification

Optical filters

Visual process modeling

Algorithm development

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