首页> 外文期刊>Geoscience and Remote Sensing, IEEE Transactions on >Copolarized and Cross-Polarized Backscattering From Random Rough Soil Surfaces From L-Band to Ku-Band Using Numerical Solutions of Maxwell's Equations With Near-Field Precondition
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Copolarized and Cross-Polarized Backscattering From Random Rough Soil Surfaces From L-Band to Ku-Band Using Numerical Solutions of Maxwell's Equations With Near-Field Precondition

机译:利用具有近场先决条件的麦克斯韦方程组的数值解,从L波段到Ku波段从随机粗糙土壤表面进行同极化和交叉极化的反向散射

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We extend the 3-D numerical method of Maxwell's equation (NMM3D) for rough soil surface scattering from L-band to C-, X-, and Ku-bands. We illustrate the results for copolarization, cross-polarization, and polarization ratio (HH/VV). Copolarized and cross-polarized backscattering coefficients from NMM3D are analyzed for frequency dependence, incident angle dependence, and soil moisture dependence. We also cross compare results from analytical and empirical models. The 16 16 squared wavelength of rough surface is applied for NMM3D using 256 processors on NSF Extreme Science and Engineering Discovery Environment clusters. Polarization ratio, HH/VV, is studied to address the feature of dependence on frequency for same fields (same physical parameters for the model). HH/VV is shown useful to provide additional information to study land surface. Results from NMM3D are also validated with POLARSCAT measurement data-1. NMM3D shows good agreement with data and better performance while considering copolarization, cross-polarization, and polarization ratio (HH/VV) together. The key advancement in computation efficiency in this paper is the implementation of a physically based near-field precondition algorithm in NMM3D to accelerate parallel computation. With precondition, the computation time is faster by ten times for larger root-mean-square height.
机译:我们将Maxwell方程(NMM3D)的3-D数值方法扩展为从L波段到C波段,X波段和Ku波段的粗糙土壤表面散射。我们举例说明了共极化,交叉极化和极化比率(HH / VV)的结果。分析了NMM3D的同极化和交叉极化反向散射系数的频率依赖性,入射角依赖性和土壤湿度依赖性。我们还交叉比较了分析模型和经验模型的结果。 NSF3使用NSF Extreme Science and Engineering Discovery Environment集群上的256个处理器,将粗糙表面的16 16平方波长应用于NMM3D。研究了极化比HH / VV,以解决相同场(模型的相同物理参数)对频率的依赖性。已显示HH / VV可用于提供更多信息来研究陆地表面。 NMM3D的结果也用POLARSCAT测量数据-1进行了验证。 NMM3D显示了与数据的良好一致性和更好的性能,同时考虑了共极化,交叉极化和极化比(HH / VV)。本文计算效率的关键进步是在NMM3D中实现了基于物理的近场前提算法,以加速并行计算。有了前提条件,对于更大的均方根高度,计算时间将缩短十倍。

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