PC-based display strategy for spectral imagery

J. S. Tyo; R. C. Olsen

doi:10.1109/WARSD.2003.1295205

PC-based display strategy for spectral imagery

J. S. Tyo, R. C. Olsen

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

3 Citations (Scopus)

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.

Original language	English
Title of host publication	2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data
Publisher	IEEE, Institute of Electrical and Electronics Engineers
Pages	276-281
Number of pages	6
ISBN (Electronic)	0780383508, 9780780383500
DOIs	https://doi.org/10.1109/WARSD.2003.1295205
Publication status	Published - 2004
Externally published	Yes
Event	IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data 2003 - Greenbelt, United States of America Duration: 27 Oct 2003 → 28 Oct 2003 https://ieeexplore.ieee.org/xpl/conhome/9079/proceeding

Publication series

Name	2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data

Conference

Conference	IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data 2003
Country/Territory	United States of America
City	Greenbelt
Period	27/10/03 → 28/10/03
Internet address	https://ieeexplore.ieee.org/xpl/conhome/9079/proceeding

Access to Document

10.1109/WARSD.2003.1295205

Cite this

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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. S.\} and Olsen, \{R. C.\}",

note = "Publisher Copyright: {\textcopyright} 2004 IEEE.; IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data 2003 ; Conference date: 27-10-2003 Through 28-10-2003",

year = "2004",

doi = "10.1109/WARSD.2003.1295205",

language = "English",

series = "2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data",

publisher = "IEEE, Institute of Electrical and Electronics Engineers",

pages = "276--281",

booktitle = "2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data",

address = "United States of America",

url = "https://ieeexplore.ieee.org/xpl/conhome/9079/proceeding",

}

Tyo, JS & Olsen, RC 2004, PC-based display strategy for spectral imagery. in 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data. 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, IEEE, Institute of Electrical and Electronics Engineers, pp. 276-281, IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data 2003, Greenbelt, Maryland, United States of America, 27/10/03. https://doi.org/10.1109/WARSD.2003.1295205

PC-based display strategy for spectral imagery. / Tyo, J. S.; Olsen, R. C.
2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data. IEEE, Institute of Electrical and Electronics Engineers, 2004. p. 276-281 (2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

TY - GEN

T1 - PC-based display strategy for spectral imagery

AU - Tyo, J. S.

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AB - 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.

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BT - 2003 IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data

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T2 - IEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data 2003

Y2 - 27 October 2003 through 28 October 2003

ER -

PC-based display strategy for spectral imagery

Abstract

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Conference

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