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Bistatic Scattering and Emissivities of Lossy Dielectric Surfaces With Exponential Correlation Functions

机译:具有指数相关函数的有损介电表面的双基地散射和发射率

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Bistatic scattering and emissivities of surfaces with exponential correlation functions are studied numerically for 2-D geometries in a numerical Maxwell model with 2-D simulations. Surfaces with exponential correlation functions are important for the active and passive microwave remote sensing of land surfaces. Because of the fine-scale features with large slopes of such surfaces, numerical accuracy, which is particularly important for the calculation of emissivity in passive remote sensing, is ensured by a variety of procedures in this paper. The rooftop function and Galerkin's method with numerical integration of near-field impedance matrix elements are used. Cubic spline interpolation is employed to connect knots on random rough surfaces. Numerical accuracy convergence tests are performed for numerical solutions of Maxwell equations by varying the number of points from 13 to 103 points per wavelength in the dielectric medium corresponding to 50-400 points per free wavelength. Surface lengths of up to 100 and 200 free wavelengths and root mean square heights of up to 0.4 and 0.8 free wavelengths, respectively, are used at 5 and 10 GHz to capture all the essential features. Because of the large number of surface unknowns (up to 80 000), the multilevel UV method is further used to accelerate the matrix equation solver. Numerical results are illustrated for both bistatic scattering and emissivities as functions of frequencies and incidence and scattering angles for cases of interests in microwave remote sensing. Comparisons are made with the second-order small perturbation method and Kirchhoff's approximation to reestablish the regimes of validity of these methods
机译:在带有二维模拟的麦克斯韦数值模型中,针对二维几何图形,对具有指数相关函数的表面的双基地散射和发射率进行了数值研究。具有指数相关函数的表面对于陆地表面的主动和被动微波遥感非常重要。由于此类表面具有较大的坡度,因此具有精细的尺度特征,因此通过多种程序可确保数值精度,这对于被动式遥感的发射率计算尤为重要。使用屋顶函数和具有近场阻抗矩阵元素数值积分的Galerkin方法。三次样条插值用于连接随机粗糙表面上的结。通过将电介质中每个波长的点数从每波长13点更改为103个点(对应于每个自由波长50-400点),对Maxwell方程的数值解进行了数值精度收敛测试。分别在5 GHz和10 GHz处使用多达100和200个自由波长的表面长度以及多达0.4和0.8个自由波长的均方根高度,以捕获所有基本特征。由于存在大量的表面未知数(最多80 000个),因此进一步使用了多级UV方法来加速矩阵方程求解器。对于微波遥感中感兴趣的情况,双基地散射和发射率的数值结果都作为频率,入射角和散射角的函数进行了说明。用二阶小扰动法和基尔霍夫近似法进行比较,以重建这些方法的有效性

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