A comparative evaluation of spectral reflectance representations for spectrum reconstruction, interpolation and classification

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dc.contributor.authorHuynh, Cong
dc.contributor.authorRobles-Kelly, Antonio
dc.coverage.spatialPortland United States of America
dc.date.accessioned2015-12-13T22:51:38Z
dc.date.createdJune 23-28 2013
dc.date.issued2013
dc.date.updated2016-02-24T09:45:42Z
dc.description.abstractDue to the high dimensionality of spectral data, spectrum representation techniques have often concentrated on modelling the spectra as a linear combination of a small basis set. Here, we focus on the evaluation of a B-Spline representation, a Gaussian mi
dc.identifier.urihttp://hdl.handle.net/1885/81174
dc.publisherIEEE
dc.relation.ispartofseries26th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2013
dc.sourceProceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition
dc.subjectKeywords: B splines; Gaussian mixtures; Hyperspectral Imaging; Multispectral imaging; PCA; Spectral reflectances; Spectrum reconstruction; Spectrum representation; wavelets; Image segmentation; Pattern recognition; Reflection; Spectroscopy; Interpolation B-Splines; Gaussian Mixture; hyperspectral imaging; multispectral imaging; PCA; spectral reflectance; spectrum classification; spectrum interpolation; spectrum reconstruction; spectrum representation; wavelets
dc.titleA comparative evaluation of spectral reflectance representations for spectrum reconstruction, interpolation and classification
dc.typeConference paper
local.bibliographicCitation.lastpage335
local.bibliographicCitation.startpage328
local.contributor.affiliationHuynh, Cong, College of Engineering and Computer Science, ANU
local.contributor.affiliationRobles-Kelly, Antonio, College of Engineering and Computer Science, ANU
local.contributor.authoremailu4378509@anu.edu.au
local.contributor.authoruidHuynh, Cong, u4378509
local.contributor.authoruidRobles-Kelly, Antonio, u1811090
local.description.embargo2037-12-31
local.description.notesImported from ARIES
local.description.refereedYes
local.identifier.absfor080104 - Computer Vision
local.identifier.absfor080106 - Image Processing
local.identifier.absfor080109 - Pattern Recognition and Data Mining
local.identifier.absseo970108 - Expanding Knowledge in the Information and Computing Sciences
local.identifier.ariespublicationf5625xPUB9527
local.identifier.doi10.1109/CVPRW.2013.56
local.identifier.scopusID2-s2.0-84884961645
local.identifier.thomsonID000331116100053
local.identifier.uidSubmittedByf5625
local.type.statusPublished Version

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