Design goals and solutions for display of hyperspectral images

Design goals and solutions are proposed for the display of hyperspectral imagery on tristimulus displays. The requirements of a hyperspectral visualization depend on the task. We focus on creating consistent representations of hyperspectral data that can facilitate understanding and analysis of hype...

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Bibliographic Details
Published inIEEE transactions on geoscience and remote sensing Vol. 43; no. 11; pp. 2684 - 2692
Main Authors Jacobson, N.P., Gupta, M.R.
Format Journal Article
LanguageEnglish
Published New York, NY IEEE 01.11.2005
Institute of Electrical and Electronics Engineers
The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects
Applied geophysics
Brightness
Data visualization
Design engineering
Dimensionality reduction
Displays
Earth sciences
Earth, ocean, space
Exact sciences and technology
Humans
Hyperspectral imaging
image fusion
Imagery
Infrared imaging
Infrared spectra
Internal geophysics
Layout
multidimensional signal processing
Principal component analysis
principal components analysis (PCA)
remote sensing
Spectrometers
Spectroscopy
Vegetation
Visual system
Visualization
Dimensionality reduction
visualization
image fusion
data processing
remote sensing
vegetation
principal components analysis
saturation
brightness
interpretation
imagery
multidimensional signal processing
principal components analysis (PCA)
hyperspectral imaging
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Summary:Design goals and solutions are proposed for the display of hyperspectral imagery on tristimulus displays. The requirements of a hyperspectral visualization depend on the task. We focus on creating consistent representations of hyperspectral data that can facilitate understanding and analysis of hyperspectral scenes, and may be used in conjunction with task-specific visualizations. Fixed linear spectral weighting envelopes are given, creating natural-looking imagery where hue, brightness, saturation, and whitepoint have meanings consistent with the human visual system interpretation of natural scenes. For Airborne Visible/Infrared Imaging Spectrometer images, hue interpretation of water and vegetation is also preserved. The proposed designs avoid the preattentive distractions of principal component analysis imagery, and appear to provide comparable or enhanced spectral and edge discriminability.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0196-2892
1558-0644
DOI:10.1109/TGRS.2005.857623