Repository logo
 
Publication

Estimation of signal subspace on hyperspectral data

dc.contributor.authorBioucas-Dias, José M.
dc.contributor.authorNascimento, Jose
dc.date.accessioned2016-04-27T13:20:36Z
dc.date.available2016-04-27T13:20:36Z
dc.date.issued2005
dc.description.abstractDimensionality reduction plays a crucial role in many hyperspectral data processing and analysis algorithms. This paper proposes a new mean squared error based approach to determine the signal subspace in hyperspectral imagery. The method first estimates the signal and noise correlations matrices, then it selects the subset of eigenvalues that best represents the signal subspace in the least square sense. The effectiveness of the proposed method is illustrated using simulated and real hyperspectral images.pt_PT
dc.identifier.citationBIOUCAS-DIAS, José M.; NASCIMENTO, José M. P. - Estimation of signal subspace on hyperspectral data. Proceedings of SPIE - Conference on Image and Signal Processing for Remote Sensing XI. ISSN 0277-786X. Vol. 5982. 59820L-1-59820L8, 2005pt_PT
dc.identifier.doi10.1117/12.620061pt_PT
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/10400.21/6096
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherSPIEpt_PT
dc.subjectDimensionality reductionpt_PT
dc.subjectModel selectionpt_PT
dc.subjectOrder selectionpt_PT
dc.subjectHyperspectral imagerypt_PT
dc.subjectLinear mixturept_PT
dc.subjectSignal subspacept_PT
dc.titleEstimation of signal subspace on hyperspectral datapt_PT
dc.typeconference object
dspace.entity.typePublication
oaire.citation.conferencePlaceBruges, Belgiumpt_PT
oaire.citation.endPage59820L-8pt_PT
oaire.citation.startPage59820L-1pt_PT
oaire.citation.titleProceedings of SPIE - Conference on Image and Signal Processing for Remote Sensing XIpt_PT
oaire.citation.volume5982pt_PT
person.familyNameNascimento
person.givenNameJose
person.identifier.ciencia-id6912-6F61-1964
person.identifier.orcid0000-0002-5291-6147
person.identifier.ridE-6212-2015
person.identifier.scopus-author-id55920018000
rcaap.rightsclosedAccesspt_PT
rcaap.typeconferenceObjectpt_PT
relation.isAuthorOfPublicationc7ffc6c0-1bdc-4f47-962a-a90dfb03073c
relation.isAuthorOfPublication.latestForDiscoveryc7ffc6c0-1bdc-4f47-962a-a90dfb03073c

Files

Original bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
Estimation of Signal Subspace on Hyperspectral Data.pdf
Size:
699.79 KB
Format:
Adobe Portable Document Format
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
1.71 KB
Format:
Item-specific license agreed upon to submission
Description: