后向散射系数的英文

• backscattering coefficient

• "后"英文翻译    behind; back; rear
• "向"英文翻译    direction
• "散射系数"英文翻译    dissipation coefficient; sca ...
• "大气后向散射系数" 英文翻译 :    atmospheric backscatter coefficient
• "反向散射系数" 英文翻译 :    back scattering coefficient; back scattering facor; backscattering coefficient
• "后向散射" 英文翻译 :    back scattering; backscattering; backward scattering
• "后向散射图" 英文翻译 :    backscatter pattern
• "大气后向散射" 英文翻译 :    atmospheric backscatter
• "后向散射雷达" 英文翻译 :    backscatter radar
• "近场后向散射" 英文翻译 :    near field backscatter; near-field backscatter
• "雷达后向散射" 英文翻译 :    radar backscatter
• "天波后向散射" 英文翻译 :    sky wave backscatter; sky-wave backscatter
• "雨滴后向散射" 英文翻译 :    rain backscatter
• "反向散射系统" 英文翻译 :    back scatter system
• "反向散射的,后向散射的" 英文翻译 :    backward scattered
• "反向散射电子,后向散射电子" 英文翻译 :    backward scattered electron
• "激光棒侧向散射系数的测量方法" 英文翻译 :    test method for side direction scattering coefficient of laser rods
• "背散射系数" 英文翻译 :    backscattering coefficient
• "光散射系数" 英文翻译 :    light scattering coefficient; light-scattering coefficient; optical scattering coefficient
• "回散射系数" 英文翻译 :    backscattering coefficient b
• "散射系数" 英文翻译 :    coefficient of scattering; scattering coefficient; scatteringcoefficient
• "体散射系数" 英文翻译 :    volume scattering coefficient
• "线散射系数" 英文翻译 :    line scattering coefficient
• "总散射系数" 英文翻译 :    total scattering coefficient
• "后向散射的辐射" 英文翻译 :    backscattered radiation

• Especially , the second part of the computing the backscattered field is given . 5
  在利用kirchhoff远场近似方程计算后向散射系数时,给出了计算该公式第二部分的方法。
• 4 . based on the theory of kirchhoff approximating and the model of franceschetti facet field simulating , an algorithm for the computing the facet backscatter coefficients is presented
  4 .基于kirchhoff近似理论和franceschetti地面场景仿真模型,实现了一种根据小平面单元与sar之间的几何关系计算小平面单元后向散射系数的算法。
• Based on the theory of kirchhoff approach and facet , the algorithm of computing the facets " backscatter coefficients is discussed . especially a method of computing part of the backscattered field is advanced
  基于kirchhoff近似理论和franceschetti的地面场景仿真模型，本文实现了根据小平面单元与sar之间的几何关系计算小平面单元后向散射系数的算法。
• We , then , parameterized a semi - empirical model for the different land surface cover types . this semi - empirical model was applied to minimize the effects of the vegetation volume scattering and extinction in radar measurements
  此外，目前星载合成孔径雷达如ers - 1 2 、 radarsat等均为单一频率、单一极化的雷达，无法从得到的单参数雷达后向散射系数中直接提取地表土壤水分信息。
• This technique is mainly involved two steps : 1 ) vegetation effects correction : we used ndvi ( normalized difference vegetation index ) derived from tm and avhrr measurements for spatial and temporal variations of vegetation covers at different scales
  但由于电磁波与地表相互作用的复杂性，雷达后向散射系数除受地表介电常数(土壤水分)影响外，还受到地表粗糙度、土壤类型、植被覆盖以及雷达入射角、频率、极化等多种因素的影响。
• In this study , we demonstrate a technique using the multi - temporal c band hh polarized radarsat scansar data to estimate the relative soil moisture change . the experiment data from sgp97 covered a whole range of vegetation growing season and different type agriculture fields
  研究证明，星载合成孔径雷达( sar )得到的地表后向散射系数与地表介电常数有直接相关关系，从而能够在水文模型要求的精度范围内有效提取地表土壤水分信息。
• Using a simple radiative transfer model for vegetation volume scattering and the integral equation model ( ibm ) for surface scattering with the field in situ measurements as the input , we compared the simulated and sar measured backscattering coefficients in different agricultural fields
  特别是在植被覆盖地表，对其下土壤水分的监测更带有极大的困难性。因此，利用雷达后向散射系数反演土壤水分必须首先充分理解微波与地表的相互作用过程。
• Based on the vector radiative transfer theory and the characteristics of the sar technology , several sub - models for rice backscattering are constructed , including the leaf scattering model , the leaf extinction model , the trunk scattering model , the trunk extinction model and the water reflection model . then an integrated model for the first - order scattering mechanisms of rice , including all the main physical processes , is achieved
  针对合成孔径雷达sar的技术特点，以水稻为研究对象，从矢量辐射传输理论vrt出发，通过模拟水稻主要器官稻叶和稻杆对电磁波的散射衰减作用等物理过程，建立了一套完整的水稻一次后向散射作用的物理模型，用以模拟水稻层的后向散射系数
• We discuss the representative phase unwrapping algorithms in detail , and make a comprehensive comparison among them by a series of unwrapping experiments with test and real interferometric data . due to the difficulty of phase unwrapping , we probe into the evaluation of unwrapping results with different algorithms , and present an improved approach in which the intensity image , coherence map and other quality map is used synthetically to select the optimal unwrapping result . 4
  此外，针对相位展开问题的复杂性，论文提出利用干涉数据幅度图像、相干图以及其它质量图综合评价相位展开质量以实现展开结果的优选； 4 、论文就较具代表性的干涉仿真方案进行了深入分析，在把握不同层次仿真方案实质区别及共性的基础上，提出基于复图像频谱获取待仿图像后向散射系数的新思想，快捷、高效地解决干涉仿真过程的关键性问题。
• For parameter a , there is a close relationship exist between a ( 9 , sr ) in two different radar incident angle that can be expressed as : with considering the effects of soil texture , we get the final expression of the inversion model : where mv ( t1 ) , mv ( t2 ) is volumetric soil moisture content in two different temp , c , d is soil type related parameters , and v ( t1 ) , s ( t2 ) is coresponding bare soil radar backscattering coefficients . inversion results show that for the c band hh polarized radarsat scansar data with a range of incidence angle from 20 to 40 , the soil moisture change value can be derived with an acceptable accuracy using the above model . the temporal and spatial soil moisture change patterns are associated with rainfall and vegetation cover , as well as the soil hydraulic characteristics
  利用最新发展的电磁波散射模型研究了不同植被覆盖地表雷达波对地表土壤水分的敏感性，建立了半经验植被雷达后向散射模型; 2 ) .研究发现在农作物等矮小植被覆盖地表，植被层直接后向散射与植被类型相关，且在植被生长期，雷达后向散射系数对植被含水量的敏感性要高于对植被高度变化的敏感性; 3 ) .解决了单参数雷达地表土壤水分反演问题中，雷达入射角和地表粗糙度的影响这一难点问题; 4 ) .利用土壤介电模型校正了不同土壤类型对反演地表土壤体积含水量的影响; 5 ) .在以上成果基础上，建立了完整的单参数雷达地表土壤水分变化探测反演算法，经地表验证，模型反演地表土壤水分变化值的精度为rmse = 0

• 后向散射系数的法语：coefficient de rétrodiffusion acoustique index de rétrodiffusion
• 后向散射系数的阿拉伯语：معامل التبعثر المرتد;