Visualization of spectral images

G. Polder; G.W.A.M. van der Heijden

Visualization of spectral images

G. Polder, G.W.A.M. van der Heijden

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

Abstract

Spectral image sensors provide images with a large number of contiguous spectral channels per pixel. Visualization of these huge data sets is not a straightforward issue. There are three principal ways in which spectral data can be presented; as spectra, as image and in feature space. This paper describes several visualization methods and their suitability in the different steps in the research cycle. Combinations of the three presentation methods and dynamic interaction between them, adds significant to the usability. Examples of some software implementations are given. Also the application of volume visualization methods to display spectral images is shown to be valuable

Original language	English
Title of host publication	Visualization and optimization techniques: Wuhan, China, October 23-24, 2001
Subtitle of host publication	Proceedings of SPIE
Editors	Y. Censor, M. Ding
Pages	132-137
Volume	4553
Publication status	Published - 2001
Event	SPIE Congress, Wuhan, China - Duration: 22 Oct 2001 → 24 Oct 2001

Conference/symposium

Conference/symposium	SPIE Congress, Wuhan, China
Period	22/10/01 → 24/10/01

Keywords

Feature space
Spectral images
Volume visualization

Access to Document

https://edepot.wur.nl/24361

Cite this

@inproceedings{f81d77d05a224d748d983f6a48475f8d,

title = "Visualization of spectral images",

abstract = "Spectral image sensors provide images with a large number of contiguous spectral channels per pixel. Visualization of these huge data sets is not a straightforward issue. There are three principal ways in which spectral data can be presented; as spectra, as image and in feature space. This paper describes several visualization methods and their suitability in the different steps in the research cycle. Combinations of the three presentation methods and dynamic interaction between them, adds significant to the usability. Examples of some software implementations are given. Also the application of volume visualization methods to display spectral images is shown to be valuable",

keywords = "Feature space, Spectral images, Volume visualization",

author = "G. Polder and {van der Heijden}, G.W.A.M.",

year = "2001",

language = "English",

volume = "4553",

pages = "132--137",

editor = "Y. Censor and M. Ding",

booktitle = "Visualization and optimization techniques: Wuhan, China, October 23-24, 2001",

note = "SPIE Congress, Wuhan, China ; Conference date: 22-10-2001 Through 24-10-2001",

}

TY - GEN

T1 - Visualization of spectral images

AU - Polder, G.

AU - van der Heijden, G.W.A.M.

PY - 2001

Y1 - 2001

N2 - Spectral image sensors provide images with a large number of contiguous spectral channels per pixel. Visualization of these huge data sets is not a straightforward issue. There are three principal ways in which spectral data can be presented; as spectra, as image and in feature space. This paper describes several visualization methods and their suitability in the different steps in the research cycle. Combinations of the three presentation methods and dynamic interaction between them, adds significant to the usability. Examples of some software implementations are given. Also the application of volume visualization methods to display spectral images is shown to be valuable

AB - Spectral image sensors provide images with a large number of contiguous spectral channels per pixel. Visualization of these huge data sets is not a straightforward issue. There are three principal ways in which spectral data can be presented; as spectra, as image and in feature space. This paper describes several visualization methods and their suitability in the different steps in the research cycle. Combinations of the three presentation methods and dynamic interaction between them, adds significant to the usability. Examples of some software implementations are given. Also the application of volume visualization methods to display spectral images is shown to be valuable

KW - Feature space

KW - Spectral images

KW - Volume visualization

M3 - Conference paper

VL - 4553

SP - 132

EP - 137

BT - Visualization and optimization techniques: Wuhan, China, October 23-24, 2001

A2 - Censor, Y.

A2 - Ding, M.

T2 - SPIE Congress, Wuhan, China

Y2 - 22 October 2001 through 24 October 2001

ER -

Visualization of spectral images

Abstract

Conference/symposium

Keywords

Access to Document

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Cite this