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    模型ID: M00006
    模型名称: 高级积分模型
    模型编码者:
    序号 姓名 联系方式
    1
    Chen Kunshan
    Center for Space & Remote Sensing Res., Nat. Central Univ., Chung-li, Taiwan
    模型关键字: 散射、地表粗糙度、土壤水分
    模型类型: 机理模型
    模型最后修改日期: 2014/9/17 0:00:00
    模型提交日期: 2014/9/17 0:00:00
    模型摘要: AIEM模型是在IEM模型的基础上发展而来,改进如下:1). 保持格林函数及其梯度的绝对相位项,重新推导了补余场强系数,因而推导出更完整、更精确的多次散射表达式和单次散射项。2). 计算随机介电地表的双站散射系数中,菲涅尔反射系数通常被假设在低、高频范围内各自采用入射角近似或零度角近似。然而,这两种近似都只能应用于各自有效范围。通过过渡函数可把这两种近似连接起来,这在AIEM 模型中也包括进去了。
    公式:
    1
    名称:Frequency
    参数类型:double
    物理意义:入射频率 (GHz)
    2
    名称:RMS Height
    参数类型:double
    物理意义:均方根高度 (cm)
    3
    名称:Correlation Length
    参数类型:double
    物理意义:相关长度 (cm)
    4
    名称:Moisture
    参数类型:double
    物理意义:土壤体积含水量 (m3/m3)
    5
    名称:theta
    参数类型:double
    物理意义:入射角 (度)
    标题: Emission of Rough Surfaces Calculated by the Integral Equation Method With
    文献作者:
    序号 姓名 联系方式
    1
    K. S. Chen
    2
    T. D. Wu
    3
    L. Tsang
    4
    Q. Li
    5
    J. Shi
    6
    A. K. Fung
    文献引用: IEEE Transactions on Geoscience and Remote Sensing
    文献摘要: This paper presents a model of microwave emissions from rough surfaces. We derive a more complete expression of the single-scattering terms in the integral equation method (IEM) surface scattering model. The complementary components for the scattered fields are rederived, based on the removal of a simplifying assumption in the spectral representation of Green’s function. In addition, new but compact expressions for the complementary field coefficients can be obtained after quite lengthy mathematical manipulations. Three-dimensional Monte Carlo simulations of surface emission from Gaussian rough surfaces were used to examine the validity of the model. The results based on the new version (advanced IEM) indicate that significant improvements for emissivity prediction may be obtained for a wide range of roughness scales, in particular in the intermediate roughness regions. It is also shown that the original IEM produces larger errors that lead to tens of Kelvins in brightness temperature, which are unacceptable for passive remote sensing..

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