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基于参数不确定性分析的SAR土壤水分反演精度控制方法
引用本文:陈鲁皖,韩玲,王文娟,秦小宝.基于参数不确定性分析的SAR土壤水分反演精度控制方法[J].测绘工程,2018(4):6-13.
作者姓名:陈鲁皖  韩玲  王文娟  秦小宝
作者单位:长安大学 地质工程与测绘学院,陕西 西安,710064
基金项目:国家重大高分专项军事测绘事业处理与服务系统,中央高校基本科研业务专业资助项目
摘    要:参数不确定性是SAR反演土壤水分的重要不确定性来源,为控制土壤水分反演精度,提出一种基于参数不确定性的有效控制土壤水分反演精度的方法,使用该方法可以控制参数的误差范围。首先使用全局敏感性分析方法,确定后向影响散射系数输出的主要参数;在不同量级高斯噪声随机扰动下,将大量各参数采值输入AIEM模型中,得到带噪声的后向散射系数集合;再使用LUT法反演土壤水分,计算反演结果满足误差量级控制范围。以此为基础,利用ENVISAT ASAR双极化数据(VV、VH)和实测土壤水分数据进行验证,利用LUT法反演得到带噪声的土壤水分,计算ASAR影像中采样点土壤水分反演值RMSE0.04cm3/cm3。结果表明各影响参数误差量级控制范围可有效控制土壤水分反演精度,在较大的入射角范围内都适用。

关 键 词:AIEM模型  不确定性量化  敏感性分析  LUT  土壤水分  ASAR  AIEM  uncertainty  quantification  sensitivity  analysis  LUT  soil  moisture  ASAR

A method of controlling accuracy of SAR-retrieved soil moisture based on parameter uncertainty analysis
CHEN Luwan,HAN Lin,WANG Wenjuan,QIN Xiaobao.A method of controlling accuracy of SAR-retrieved soil moisture based on parameter uncertainty analysis[J].Engineering of Surveying and Mapping,2018(4):6-13.
Authors:CHEN Luwan  HAN Lin  WANG Wenjuan  QIN Xiaobao
Abstract:There is a lot of uncertainty about using SAR to retrieve soil moisture in bare soil,in which parameter uncertainty is an important part.In order to control the accuracy of soil moisture retrieval,a method based on parameter uncertainty for controlling soil moisture retrieval accuracy is proposed.The error control range of parameters can be obtained by using this method.Firstly,the global sensitivity analysis method is used to analyze the AIEM(Advanced Integral Equation Model)model,and the main influence parameters of the backscattering coefficient are obtained.Then,a large number of parameter sampling values are obtained by adding random noise of different orders of magnitude to Gauss in the main influence parameters,and these sampled values are input into the AIEM model to obtain a set of backscatter coefficients with noise.LUT(look-up tables)method is used to retrieve the soil moisture,and the RMSE of the inversion result is calculated.The error control range of influence parameter which satisfies certain inversion precision is obtained.Finally,the error control range is extended to adapt to different incidence angles.The results are validated by using Envisat ASAR(advanced synthetic aperture radar)C-band dual polarization(VV,HH)data and the observed values of ground truth measurements synchronizing with Envisat ASAR.The parameter error control range is used as the sensitive parameter to add the disturbance noise,and LUT method is used to retrieve the soil moisture with noise.The RMSE of inversion result in the sampling area is calculated.The results(RMSE<0.04 cm3/cm3)show that error control range of influence parameter proposed by this paper can effectively control the inversion accuracy of soil moisture,and can be applied to a larger range of incidence angles.
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