{"title":"Hyperspectral Compressive Sensing based on Online Dictionary Learning","authors":"Irem Ülkü, Ersin Kızgut","doi":"10.1364/ISA.2017.ITH4E.1","DOIUrl":null,"url":null,"abstract":"This is the first time that blind compressive sensing (BCS) is used with online dictionary learning in hyperspectral image compression. BCS is among the best three algorithms in terms of compression performance at high ratios.","PeriodicalId":263258,"journal":{"name":"Rundbrief Der Gi-fachgruppe 5.10 Informationssystem-architekturen","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-06-26","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.2017.ITH4E.1","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
This is the first time that blind compressive sensing (BCS) is used with online dictionary learning in hyperspectral image compression. BCS is among the best three algorithms in terms of compression performance at high ratios.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
