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dc.contributor.authorGarcía Allende, Pilar Beatriz
dc.contributor.authorConde Portilla, Olga María 
dc.contributor.authorMirapeix Serrano, Jesús María 
dc.contributor.authorCubillas de Cos, Ana María
dc.contributor.authorLópez Higuera, José Miguel 
dc.contributor.otherUniversidad de Cantabriaes_ES
dc.date.accessioned2013-06-12T07:47:53Z
dc.date.available2013-06-12T07:47:53Z
dc.date.issued2007-07-02
dc.identifier.issn1996-756X
dc.identifier.issn0277-786X
dc.identifier.urihttp://hdl.handle.net/10902/2352
dc.description.abstractA data processing method for hyperspectral images is presented. Each image contains the whole diffuse reflectance spectra of the analyzed material for all the spatial positions along a specific line of vision. This data processing method is composed of two blocks: data compression and classification unit. Data compression is performed by means of Principal Component Analysis (PCA) and the spectral interpretation algorithm for classification is the Spectral Angle Mapper (SAM). This strategy of classification applying PCA and SAM has been successfully tested on the raw material on-line characterization in the tobacco industry. In this application case the desired raw material (tobacco leaves) should be discriminated from other unwanted spurious materials, such as plastic, cardboard, leather, candy paper, etc. Hyperspectral images are recorded by a spectroscopic sensor consisting of a monochromatic camera and a passive Prism- Grating-Prism device. Performance results are compared with a spectral interpretation algorithm based on Artificial Neural Networks (ANN).es_ES
dc.format.extent4 p.es_ES
dc.language.isoenges_ES
dc.publisherSPIE Society of Photo-Optical Instrumentation Engineerses_ES
dc.rights© 2007 Society of Photo-Optical Instrumentation Engineers. One print or electronic copy may be made for personal use only. Systematic electronic or print reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modification of the content of the paper are prohibited.es_ES
dc.sourceProceedings of SPIE, 2007, vol. 6619, 66193Qes_ES
dc.sourceThird European Workshop on Optical Fibre Sensors, Nápoles, 2007es_ES
dc.subject.otherPrincipal component analysis (PCA)es_ES
dc.subject.otherSpectral Angle Mapper (SAM)es_ES
dc.subject.otherAbsorption spectroscopyes_ES
dc.subject.otherHyperspectral imageses_ES
dc.subject.otherRaw material on-line characterizationes_ES
dc.subject.otherPattern recognitiones_ES
dc.subject.otherClassification analysises_ES
dc.titleData processing method applying Principal Component Analysis and Spectral Angle Mapper for imaging spectroscopic sensorses_ES
dc.typeinfo:eu-repo/semantics/conferenceObjectes_ES
dc.relation.publisherVersionhttp://dx.doi.org/10.1117/12.738768es_ES
dc.rights.accessRightsopenAccesses_ES
dc.identifier.DOI10.1117/12.738768
dc.type.versionpublishedVersiones_ES


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