{"title":"An Independent Retrieval Algorithm of Multi-wavelength Pyrometer","authors":"Jian Xing, Fei Wu","doi":"10.1109/IMCCC.2015.205","DOIUrl":null,"url":null,"abstract":"An independent retrieval computing algorithm for true temperature detection of multi-wavelength pyrometer (MWP) is explored based on gradient projection iteration (GPI) method. Its advantage is no assumption equation of emissivity in advance to realize the spectral emissivity recognition for all spectral channels. 6 kinds of typical emissivity distribution materials is simulated by proposed GPI, the retrieval result shows that the true temperature relative error is lower than 1.5% even if the 5% random noise is input, abs error is lower 30K. Meanwhile the spectral emissivity also is obtained the similar identical distribution.","PeriodicalId":438549,"journal":{"name":"2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 Fifth International Conference on Instrumentation and Measurement, Computer, Communication and Control (IMCCC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMCCC.2015.205","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
An independent retrieval computing algorithm for true temperature detection of multi-wavelength pyrometer (MWP) is explored based on gradient projection iteration (GPI) method. Its advantage is no assumption equation of emissivity in advance to realize the spectral emissivity recognition for all spectral channels. 6 kinds of typical emissivity distribution materials is simulated by proposed GPI, the retrieval result shows that the true temperature relative error is lower than 1.5% even if the 5% random noise is input, abs error is lower 30K. Meanwhile the spectral emissivity also is obtained the similar identical distribution.