Principal components-based display strategy for spectral imagery

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Author
Tyo, J. Scott
Konsolakis, Athanasios
Diersen, David I.
Olsen, Richard Christopher
Date
2003Metadata
Show full item recordAbstract
A new pseudocolor mapping strategy for use with
spectral imagery is presented. This strategy is based on a principal
components analysis of spectral data, and capitalizes on the
similarities between three-color human vision and high-dimensional
hyperspectral datasets. The mapping is closely related to
three-dimensional versions of scatter plots that are commonly
used in remote sensing to visualize the data cloud. The transformation
results in final images where the color assigned to each
pixel is solely determined by the position within the data cloud.
Materials with similar spectral characteristics are presented in
similar hues, and basic classification and clustering decisions
can be made by the observer. Final images tend to have large
regions of desaturated pixels that make the image more readily
interpretable. The data cloud is shown here to be conical in nature,
and materials with common spectral signatures radiate from the
origin of the cone, which is not (in general) at the origin of the
spectral data. A supervised method for locating the origin of the
cone based on identification of clusters in the data is presented,
and the effects of proper origin orientation are illustrated.
Description
IEEE Transactions on Geoscience and Remote Sensing, 41, 708-718, 2003
The article of record as published may be located at http://dx.doi.org/10.1109/TGRS.2003.808879
Rights
This publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.Collections
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