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dc.contributor.authorTyo, J. Scott
dc.contributor.authorKonsolakis, Athanasios
dc.contributor.authorDiersen, David I.
dc.contributor.authorOlsen, Richard Christopher
dc.date.accessioned2013-09-25T23:04:03Z
dc.date.available2013-09-25T23:04:03Z
dc.date.issued2003
dc.identifier.citationTyo, S, A. Konsolakis,, D. I. Diersen, and Olsen, R.C. , Principal components-based display strategy for spectral imagery, IEEE Transactions on Geoscience and Remote Sensing, 41, 708-718, 2003.
dc.identifier.urihttp://hdl.handle.net/10945/36752
dc.descriptionIEEE Transactions on Geoscience and Remote Sensing, 41, 708-718, 2003en_US
dc.descriptionThe article of record as published may be located at http://dx.doi.org/10.1109/TGRS.2003.808879en_US
dc.description.abstractA 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.en_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. As such, it is in the public domain, and under the provisions of Title 17, United States Code, Section 105, may not be copyrighted.en_US
dc.titlePrincipal components-based display strategy for spectral imageryen_US
dc.subject.authormultidimensional imagery displayen_US
dc.subject.authorHyperspectral imageryen_US
dc.subject.authorspectral imageryen_US


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