{"title":"Hyperspectral Unmixing using the AFSSI-C","authors":"Phillip K. Poon, E. Vera, M. Gehm","doi":"10.1364/ISA.2015.IT2A.6","DOIUrl":null,"url":null,"abstract":"We investigate the use of the Adaptive Feature Specific Spectral Imaging Classifier (AFSSI-C) architecture to perform spectral unmixing. Through simulations using a variety of static coding schemes, we demonstrate that the AFSSI-C outperforms traditional hyperspectral imaging.","PeriodicalId":263258,"journal":{"name":"Rundbrief Der Gi-fachgruppe 5.10 Informationssystem-architekturen","volume":"86 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-06-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Rundbrief Der Gi-fachgruppe 5.10 Informationssystem-architekturen","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1364/ISA.2015.IT2A.6","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
We investigate the use of the Adaptive Feature Specific Spectral Imaging Classifier (AFSSI-C) architecture to perform spectral unmixing. Through simulations using a variety of static coding schemes, we demonstrate that the AFSSI-C outperforms traditional hyperspectral imaging.
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