{"title":"基于微波散射场的土壤水分信息提取","authors":"L. Tang, Wei Yuan, Xin Wang, Zongqian Li","doi":"10.1109/CEEM.2003.238342","DOIUrl":null,"url":null,"abstract":"In active microwave remote sensing of soil moisture, the electric field scattered by the soil surface contains information about the soil. Three kinds of a priori knowledge hypotheses are considered for their influence on soil moisture inversion. The neural network (NN) toolbox in MATLAB is used to invert the soil moisture and compute the soil moisture error produced by the uncertainty of these three kinds of hypotheses.","PeriodicalId":129734,"journal":{"name":"Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings.","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1900-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Information of soil moisture extraction from microwave scattered field\",\"authors\":\"L. Tang, Wei Yuan, Xin Wang, Zongqian Li\",\"doi\":\"10.1109/CEEM.2003.238342\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In active microwave remote sensing of soil moisture, the electric field scattered by the soil surface contains information about the soil. Three kinds of a priori knowledge hypotheses are considered for their influence on soil moisture inversion. The neural network (NN) toolbox in MATLAB is used to invert the soil moisture and compute the soil moisture error produced by the uncertainty of these three kinds of hypotheses.\",\"PeriodicalId\":129734,\"journal\":{\"name\":\"Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings.\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1900-01-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings.\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CEEM.2003.238342\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Asia-Pacific Conference on Environmental Electromagnetics, 2003. CEEM 2003. Proceedings.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CEEM.2003.238342","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Information of soil moisture extraction from microwave scattered field
In active microwave remote sensing of soil moisture, the electric field scattered by the soil surface contains information about the soil. Three kinds of a priori knowledge hypotheses are considered for their influence on soil moisture inversion. The neural network (NN) toolbox in MATLAB is used to invert the soil moisture and compute the soil moisture error produced by the uncertainty of these three kinds of hypotheses.
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