@inproceedings{0b0cc4eefddc49d791ee74c3fcd08aee,
title = "PC-based display strategy for spectral imagery",
abstract = "We present a new pseudocolor mapping strategy for use with spectral imagery based on a principal components analysis of spectral data. The mapping capitalizes on the similarities between human vision and hyperspectral data. 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. This display strategy can be the first step in a supervised classification and clustering method.",
author = "Tyo, {J Scott} and Olsen, {R. C.}",
note = "Publisher Copyright: {\textcopyright} 2004 IEEE.; 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data ; Conference date: 27-10-2003 Through 28-10-2003",
year = "2004",
doi = "10.1109/WARSD.2003.1295205",
language = "English (US)",
series = "2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "276--281",
booktitle = "2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data",
}