liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Performance evaluation of dimensionality reduction techniques for multispectral images
Depto. Lenguajes y Sistemas Informáticos, Universidad Jaume I, Castellón de la Plana, Spain.
Linköping University, Department of Science and Technology, Digital Media. Linköping University, The Institute of Technology.ORCID iD: 0000-0001-7557-4904
2007 (English)In: International journal of imaging systems and technology (Print), ISSN 0899-9457, E-ISSN 1098-1098, Vol. 17, no 3, 202-217 p.Article in journal (Refereed) Published
Abstract [en]

We consider several collections of multispectral color signals and describe how linear and non-linear methods can be used to investigate their internal structure. We use databases consisting of blackbody radiators, approximated and measured daylight spectra, multispectral images of indoor and outdoor scenes under different illumination conditions and numerically computed color signals. We apply Principal Components Analysis, group-theoretical methods and three manifold learning methods: Laplacian Eigenmaps, ISOMAP and Conformal Component Analysis. Identification of low-dimensional structures in these databases is important for analysis, model building and compression and we compare the results obtained by applying the algorithms to the different databases.

Place, publisher, year, edition, pages
Institutionen för teknik och naturvetenskap , 2007. Vol. 17, no 3, 202-217 p.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:liu:diva-10423DOI: 10.1002/ima.20107OAI: oai:DiVA.org:liu-10423DiVA: diva2:17162
Note
This is a postprint of an article published in: Pedro Latorre Carmona & Reiner Lenz, Performance evaluation of dimensionality reduction techniques for multispectral images, 2007, International Journal of Imaging Systems and Technology, (17), 3, 202-217. http://dx.doi.org/ 10.1002/ima.20107 . Copyright: John Wiley & Sons Inc., http://www3.interscience.wiley.com/journal/37666/homeAvailable from: 2007-12-11 Created: 2007-12-11 Last updated: 2017-12-14

Open Access in DiVA

fulltext(934 kB)1410 downloads
File information
File name FULLTEXT01.pdfFile size 934 kBChecksum MD5
5849d812d36dcb50e9fabf789d3e411dd9616c39ace0c4e2b72284d08d110ba49c4f692a
Type fulltextMimetype application/pdf

Other links

Publisher's full text

Authority records BETA

Lenz, Reiner

Search in DiVA

By author/editor
Lenz, Reiner
By organisation
Digital MediaThe Institute of Technology
In the same journal
International journal of imaging systems and technology (Print)
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 1410 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 360 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf