{"title":"On the modeling and processing of polarization in Raman spectroscopy","authors":"S. Miron, D. Brie, M. Dossot, B. Humbert","doi":"10.1109/WHISPERS.2009.5289083","DOIUrl":null,"url":null,"abstract":"The use of polarized lasers for Raman spectroscopy provides a powerful tool in chemical physics as it allows a precise differentiation of the vibration modes of the crystals according to their crystallographic symmetry and local spatial orientation. In this paper we analyze the possibility of efficiently using the polarization information in Raman spectroscopy by taking into account the relationships between the two polarized spectra (parallel and orthogonal). New signal processing models for the polarized Raman spectroscopy data are introduced and algorithmic solutions are proposed.","PeriodicalId":242447,"journal":{"name":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-10-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 First Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WHISPERS.2009.5289083","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
The use of polarized lasers for Raman spectroscopy provides a powerful tool in chemical physics as it allows a precise differentiation of the vibration modes of the crystals according to their crystallographic symmetry and local spatial orientation. In this paper we analyze the possibility of efficiently using the polarization information in Raman spectroscopy by taking into account the relationships between the two polarized spectra (parallel and orthogonal). New signal processing models for the polarized Raman spectroscopy data are introduced and algorithmic solutions are proposed.