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
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image filtering

Hyperspectral imaging

Image analysis

Image classification

Optical filters

Visual process modeling

Algorithm development

RELATED CONTENT

Graph fusion based hyperspectral image classification
Proceedings of SPIE (February 14 2020)
Digital Image Centering
Proceedings of SPIE (October 13 1986)
On the performance of CEM and TCIMF
Proceedings of SPIE (June 01 2005)
Syntactic Pattern Recognition Approach To Scene Matching
Proceedings of SPIE (March 17 1983)

Back to Top