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Microwave polarimetric backscattering from natural rough surfaces.

机译:天然粗糙表面的微波偏振反向散射。

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摘要

In this thesis the radar backscatter response of natural rough surfaces is studied for the purpose of retrieving the soil moisture and surface roughness parameters from microwave radar observations. This investigation, which included theoretical, numerical and experimental components, has lead to the development of a hybrid scattering model for predicting the polarimetric radar response of bare soil surfaces. This model is then used as a basis to develop an inversion algorithm for the soil moisture and surface roughness parameters based on the measured polarimetric radar backscatter when the radar parameters are known.; Classical scattering models, such as the small perturbation method and the Kirchhoff approximation (the physical optics and the geometrical optics models), are re-examined and an improved Kirchhoff approximate solution is derived. The analytical solutions based on the classical scattering models are examined by comparing them to the results obtained from exact numerical simulations and extensive experimental observations. A Monte Carlo method is used in conjunction with the method of moments to provide a scattering solution for one-dimensional conducting surfaces. Also, the effect of dielectric inhomogeneity in a soil medium is studied by developing an efficient numerical technique for one-dimensional inhomogeneous dielectric rough surfaces. Unfortunately, the numerical simulation for a one-dimensional surface does not produce depolarization and its prediction for co-polarized components are much different from real surfaces that are two-dimensional. Therefore, careful controlled experiments are conducted to study surfaces with two-dimensional roughness.; An accurate technique for measuring the polarimetric backscatter from distributed targets was also developed. Using this method, an extensive experimental data set are acquired from bare soil surfaces with many different roughness and moisture conditions at microwave frequencies. The scattering behavior based on these experimental observations and the results derived from the theoretical and the numerical studies have been combined to develop the hybrid (semi-empirical) scattering model for the backscattering coefficients, {dollar}sigmasbsp{lcub}vv{rcub}{lcub}rm{lcub}o{rcub}{rcub}, sigmasbsp{lcub}hh{rcub}{lcub}rm{lcub}o{rcub}{rcub}, sigmasbsp{lcub}hv{rcub}{lcub}rm{lcub}o{rcub}{rcub}{dollar}. This model and its inversion algorithm are tested against many independent data sets, and excellent agreement is obtained.
机译:本文研究了自然粗糙表面的雷达后向散射响应,目的是从微波雷达观测中获取土壤水分和表面粗糙度参数。这项包括理论,数值和实验组成部分的研究导致了混合散射模型的发展,该模型可用于预测裸露土壤表面的极化雷达响应。然后将该模型作为基础,在已知雷达参数的情况下,基于测得的极化雷达反向散射,为土壤水分和表面粗糙度参数开发反演算法。重新检验了经典的散射模型,例如小扰动方法和基尔霍夫近似(物理光学和几何光学模型),并得出了改进的基尔霍夫近似解。通过将基于经典散射模型的解析解与从精确数值模拟和广泛的实验观察中获得的结果进行比较,来检查解析解。蒙特卡罗方法与矩量方法结合使用,为一维导电表面提供散射解决方案。此外,通过开发一维非均质介电粗糙表面的有效数值技术,研究了土壤介质中介电非均质性的影响。不幸的是,一维表面的数值模拟不会产生去极化,并且其对共极化分量的预测与二维实际表面有很大不同。因此,进行仔细的控制实验以研究具有二维粗糙度的表面。还开发了一种用于测量来自分布式目标的偏振反向散射的精确技术。使用这种方法,可以在微波频率下从具有许多不同粗糙度和湿度条件的裸露土壤表面获取广泛的实验数据集。根据这些实验观察结果以及从理论和数值研究得出的结果,结合了散射行为,从而开发了用于后向散射系数的混合(半经验)散射模型{dollar} sigmasbsp {lcub} vv {rcub} { lcub} rm {lcub} o {rcub} {rcub},sigmasbsp {lcub} hh {rcub} {lcub} rm {lcub} o {rcub} {rcub},sigmasbsp {lcub} hv {rcub} {lcub} rm { lcub} o {rcub} {rcub} {dollar}。针对许多独立的数据集对该模型及其反演算法进行了测试,取得了很好的一致性。

著录项

  • 作者

    Oh, Yisok.;

  • 作者单位

    University of Michigan.;

  • 授予单位 University of Michigan.;
  • 学科 Engineering Electronics and Electrical.; Geophysics.
  • 学位 Ph.D.
  • 年度 1993
  • 页码 250 p.
  • 总页数 250
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 无线电电子学、电信技术;地球物理学;
  • 关键词

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