{"title":"MIRAS振幅校准的稳定性","authors":"I. Corbella, F. Torres, N. Duffo, M. Martín-Neira","doi":"10.1109/MICRORAD.2012.6185235","DOIUrl":null,"url":null,"abstract":"Efficient methods to characterize and mitigate long-and short- term drifts in SMOS data have been developed after careful analysis of the external and internal calibration parameters and by accurate modeling of the individual receiver front-ends. A method to characterize this drift has been successfully developed and used to reduce the measured antenna temperature variations.","PeriodicalId":122743,"journal":{"name":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-03-05","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Stability of the MIRAS amplitude calibration\",\"authors\":\"I. Corbella, F. Torres, N. Duffo, M. Martín-Neira\",\"doi\":\"10.1109/MICRORAD.2012.6185235\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Efficient methods to characterize and mitigate long-and short- term drifts in SMOS data have been developed after careful analysis of the external and internal calibration parameters and by accurate modeling of the individual receiver front-ends. A method to characterize this drift has been successfully developed and used to reduce the measured antenna temperature variations.\",\"PeriodicalId\":122743,\"journal\":{\"name\":\"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-03-05\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MICRORAD.2012.6185235\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 12th Specialist Meeting on Microwave Radiometry and Remote Sensing of the Environment (MicroRad)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICRORAD.2012.6185235","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Efficient methods to characterize and mitigate long-and short- term drifts in SMOS data have been developed after careful analysis of the external and internal calibration parameters and by accurate modeling of the individual receiver front-ends. A method to characterize this drift has been successfully developed and used to reduce the measured antenna temperature variations.