{"title":"基于在线词典学习的高光谱压缩感知","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":"{\"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}","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}
Hyperspectral Compressive Sensing based on Online Dictionary Learning
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.
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