{"title":"日冕层析成像中压缩感知的统计与性能分析","authors":"Daniele Dias, C. Miosso, G. Santilli, Ugo Dias","doi":"10.1109/WCNPS56355.2022.9969707","DOIUrl":null,"url":null,"abstract":"This work aims to evaluate the performance of the technique developed for tomography images of the Solar Corona, based on Compressive Sensing (CS) in comparison with the Filtered Backprojection method (FBM), in which 31 LASCO C2 images were used. The results of the reconstruction of the signal-to-noise ratio (SNR) present better performances for the CS and together with the analysis of the processing time for this method, it was possible to determine the optimal angle of projection of 250 that guarantees a suitable quality given the characteristics of reconstruction that the algorithm presented.","PeriodicalId":120276,"journal":{"name":"2022 Workshop on Communication Networks and Power Systems (WCNPS)","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2022-11-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Statistical and Performance Analysis of Compressive Sensing in Solar Corona Tomography\",\"authors\":\"Daniele Dias, C. Miosso, G. Santilli, Ugo Dias\",\"doi\":\"10.1109/WCNPS56355.2022.9969707\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This work aims to evaluate the performance of the technique developed for tomography images of the Solar Corona, based on Compressive Sensing (CS) in comparison with the Filtered Backprojection method (FBM), in which 31 LASCO C2 images were used. The results of the reconstruction of the signal-to-noise ratio (SNR) present better performances for the CS and together with the analysis of the processing time for this method, it was possible to determine the optimal angle of projection of 250 that guarantees a suitable quality given the characteristics of reconstruction that the algorithm presented.\",\"PeriodicalId\":120276,\"journal\":{\"name\":\"2022 Workshop on Communication Networks and Power Systems (WCNPS)\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-11-17\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 Workshop on Communication Networks and Power Systems (WCNPS)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/WCNPS56355.2022.9969707\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 Workshop on Communication Networks and Power Systems (WCNPS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/WCNPS56355.2022.9969707","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Statistical and Performance Analysis of Compressive Sensing in Solar Corona Tomography
This work aims to evaluate the performance of the technique developed for tomography images of the Solar Corona, based on Compressive Sensing (CS) in comparison with the Filtered Backprojection method (FBM), in which 31 LASCO C2 images were used. The results of the reconstruction of the signal-to-noise ratio (SNR) present better performances for the CS and together with the analysis of the processing time for this method, it was possible to determine the optimal angle of projection of 250 that guarantees a suitable quality given the characteristics of reconstruction that the algorithm presented.
求助内容：
应助结果提醒方式：
京公网安备 11010802042870号
