{"title":"基于压缩感知的材料光谱数据采集与建模","authors":"Fanzhi Kong, Genyuan Zhang","doi":"10.1109/ICSAI48974.2019.9010474","DOIUrl":null,"url":null,"abstract":"Based on the characteristics of multispectral color data (the uniqueness of multispectral data, which does not depend on specific media, application gamut, observer and other factors, and can achieve accurate color reproduction and reproduction), the research scheme of this paper uses compression sensing technology to achieve the acquisition of surface material data of complex objects, and combines multispectral data processing, analysis and other technologies to build multispectral data. Expression model of data.","PeriodicalId":270809,"journal":{"name":"2019 6th International Conference on Systems and Informatics (ICSAI)","volume":"16 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spectrum data acquisition and modeling of materials based on compressed sensing\",\"authors\":\"Fanzhi Kong, Genyuan Zhang\",\"doi\":\"10.1109/ICSAI48974.2019.9010474\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Based on the characteristics of multispectral color data (the uniqueness of multispectral data, which does not depend on specific media, application gamut, observer and other factors, and can achieve accurate color reproduction and reproduction), the research scheme of this paper uses compression sensing technology to achieve the acquisition of surface material data of complex objects, and combines multispectral data processing, analysis and other technologies to build multispectral data. Expression model of data.\",\"PeriodicalId\":270809,\"journal\":{\"name\":\"2019 6th International Conference on Systems and Informatics (ICSAI)\",\"volume\":\"16 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2019-11-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2019 6th International Conference on Systems and Informatics (ICSAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICSAI48974.2019.9010474\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2019 6th International Conference on Systems and Informatics (ICSAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICSAI48974.2019.9010474","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Spectrum data acquisition and modeling of materials based on compressed sensing
Based on the characteristics of multispectral color data (the uniqueness of multispectral data, which does not depend on specific media, application gamut, observer and other factors, and can achieve accurate color reproduction and reproduction), the research scheme of this paper uses compression sensing technology to achieve the acquisition of surface material data of complex objects, and combines multispectral data processing, analysis and other technologies to build multispectral data. Expression model of data.