{"title":"孔径合成减小成像辐射测量系统误差:SMOS航天任务的新方法","authors":"A. Khazâal, H. Carfantan, É. Anterrieu","doi":"10.1109/MICRAD.2008.4579478","DOIUrl":null,"url":null,"abstract":"The SMOS mission is a European Space Agency project aimed at global monitoring of surface Soil Moisture and Ocean Salinity from radiometric L-band observations. This work is concerned with the reduction of the systematic error (or bias) in the reconstruction of radiometric brightness temperature maps from SMOS interferometric measurements. A recent and efficient method has been proposed for reducing this error. However, a residual bias still persists. A new approach for reducing this bias down to residual values less than 0.1 K is presented here and illustrated with numerical simulations.","PeriodicalId":193521,"journal":{"name":"2008 Microwave Radiometry and Remote Sensing of the Environment","volume":"7 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-03-11","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"On the reduction of the systematic error in imaging radiometry by aperture synthesis: a new approach for the SMOS space mission\",\"authors\":\"A. Khazâal, H. Carfantan, É. Anterrieu\",\"doi\":\"10.1109/MICRAD.2008.4579478\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The SMOS mission is a European Space Agency project aimed at global monitoring of surface Soil Moisture and Ocean Salinity from radiometric L-band observations. This work is concerned with the reduction of the systematic error (or bias) in the reconstruction of radiometric brightness temperature maps from SMOS interferometric measurements. A recent and efficient method has been proposed for reducing this error. However, a residual bias still persists. A new approach for reducing this bias down to residual values less than 0.1 K is presented here and illustrated with numerical simulations.\",\"PeriodicalId\":193521,\"journal\":{\"name\":\"2008 Microwave Radiometry and Remote Sensing of the Environment\",\"volume\":\"7 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-03-11\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Microwave Radiometry and Remote Sensing of the Environment\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/MICRAD.2008.4579478\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Microwave Radiometry and Remote Sensing of the Environment","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/MICRAD.2008.4579478","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
On the reduction of the systematic error in imaging radiometry by aperture synthesis: a new approach for the SMOS space mission
The SMOS mission is a European Space Agency project aimed at global monitoring of surface Soil Moisture and Ocean Salinity from radiometric L-band observations. This work is concerned with the reduction of the systematic error (or bias) in the reconstruction of radiometric brightness temperature maps from SMOS interferometric measurements. A recent and efficient method has been proposed for reducing this error. However, a residual bias still persists. A new approach for reducing this bias down to residual values less than 0.1 K is presented here and illustrated with numerical simulations.