反演像的英文翻译(translate 反演像 to english) - 汉英 - 词典

Using a method for storing the large-scale sparse matrix with varying band width, Cholesky decomposition, Green function and normalized least square fitting inversion, the paper improved the computing accuracy and efficiency in imaging calculation.

利用有限元方法实现了井间电磁成像，为了求取散射电磁场的积分方程组，运用了处理大型对称变带宽方程组的 Cholesky 分解法，反演时使用了格林函数和最小二乘法，既提高了反演速度又提高了反演质量。

It solves the imaging problem in great contrast. In chapter 2, the author deeply studies and analyzes the arithmetic of the method of Born approximation inversion and points out the limitations and disadvantage of the method. The good inverse results can be obtained in little disturbance by Born approximation.

本文提出的反演理论，考虑到散射序列中高阶项对成像结果的影响，在反演时利用逆散射序列中的高阶项以弥补散射场数据的丢失，使得在大扰动量的情况下同样能够实现界面位置和形态的精确成像，解决了大对比度情况下的成像问题。

Based on the prior information obtained by qualitative inversion, the two stages inversion method was put forward. That is, the first stage is that distinguishing the high-quality element and non- high-quality element, and determining the initial iteration value of element sound velocity reasonably. The second stage is that treating differentially the constraint weights of the high-quality element and non- high-quality element, and then quantitatively inversing the final sound velocity distribution. The results of two concrete specimens indicate that the two stages inversion method can inhibit artifacts effectively and has better defect identification effect than normal one stage inversion.

在获取定性反演先验信息的基础上，提出了两阶段反演的方法：第一阶段，区分优质像元和非优质像元，合理确定像元声速的迭代初值；第二阶段，区别对待优质像元和非优质像元的约束权重，定量反演最终的速度分布。2个混凝土试件的模型试验表明，两阶段反演能有效抑制伪像，具有比常规的一阶段反演更好的缺陷识别效果。

In the forward aspect, the advantages and disadvantages of such methods as finite difference, finite element and integral equation as well as their development trend are discussed. In the inversion aspect, mainly linear and nonlinear inversions are analyzed, with a detailed discussion on the linear inversion methods both in the time domain and in the frequency domain as well as a prediction of their future development trend.

正演方面主要讨论了有限差分、有限元和积分方程法，分析了各种方法的优缺点、适用范围，并指出了未来发展趋势；反演方面主要讨论了线性反演和非线性反演，根据井间电磁波成像的性质，对时间域和频率域线性反演方法分别做了详细论述，并给出了未来发展趋势。

For a start, before the seismic inversion it is essential for a reservoir to enhance the basic research of the rock geophysical characteristic analysis, horizon calibration, fidelity processing and model analysis, etc., and of the reservoir's lithologic character, physical, electrical and gas bearing property. Subsequently based on the fundamental principle of seismic inversion, a series of inversion methods and their application conditions were emphasized. Finally, taking Labureng area as a target, by comparing various inversion effects, we aimed at enhancing the precision of seismic image, increasing SN ratio and resolution, and highlighting seismic responses of the target strata, and presented reliable geophysical references for the understanding of reservoir evaluation, gas bearing modelbuilding and reservoir mechanism in HJQ area.

首先把地震反演前的基础研究工作做扎实，其中包括储层的岩性、物性、电性、含气性在内的岩石地球物理特征分析、层位标定、保真处理和模型分析等；其次从地震反演方法技术的基本原理出发，重点探讨各种反演方法的技术特点和应用条件；最后以杭锦旗地区拉不仍工区为靶区，通过对不同地震反演方法处理效果的综合对比分析，以提高地震成像精度、提高信噪比和分辨率、突出目的层段的地震响应特征为目标，为杭锦旗地区储层评价、含气模式建立，成藏规律的认识提供可信的地球物理依据。

During the past long period, much progress has been realized on the study of the retrieval of LST based on remote sensing, and many algorithms for the LST retrieval have been developed. However, in these algorithms non-isothermal mixed-pixels are all treated as an isothermal and homogeneous surface, which caused directly the results that the LST obtained by these algorithms is only an average temperature of mixed-pixel.

在过去很长一段时间里，地表温度的遥感反演取得了长足的进展，发展了大量的反演算法，但是这些算法都把普遍存在的非同温混合像元视为同温同质体，直接导致反演所得的只是物理意义模糊不清的混合像元的平均温度。

Parameter imaging is equivalent to the result of the first step iteration in linear least squares inversion.

在Born近似和线性反演的统一框架下，指出参数成像、线性反演和非线性拟合反演是反演的三个层次。

In the experience mode of remote sensing infor mation inversi on,the discrete data of actual measurement point and the spectrum value that the relative image is corresponding to the pixel,are used to obtain the relation,an d create the remote sensing information inversion module so as to invert the int erested information.

在遥感信息反演的经验模式中，是利用离散的实测点数据与相应的影像对应像素的光谱值找出关系，建立遥感信息反演模型，从而反演出感兴趣的信息。要读出影像上对应点的灰度值，需要先找出相应影像上的对应点的像素行列值。

The following results are made from this research: Assessing data quality and band combination of different bands in line with geo-target features in desertification areas, and determining basic bands for desertification monitoring. And understanding and studying the spectral features and variation rules of geo-targets in the experimental area, raising that it is the basis of geo-targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo-targets, realizing that in a great extent spectral-integrated-form-based classification method can remove the phenomenon of "different spectrum with same objects" resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo-target with similar spectral forms and much different values of whole reflectionratio. It is suggested that "red edge" range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel-based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. The remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed.

研究结果如下：首先针对荒漠化地区的地物特征，对高光谱数据不同波段的数据质量、波段组合进行了评价，提出了适用于荒漠化监测的基本波段选择集；初步了解和掌握了研究地区的地物光谱特性及变异规律，进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础；发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的"同物异谱"现象，对于谱形相似而整体反射率的值相差较大的两类地物，通过引入均值和方差图像参与分类得到解决；研究还表明在植被"红边"范围内的波段是进行荒漠化监测的主要特征波段，这些波段与植被生物量和盖度都有密切的关系，是开展精细植被分类研究和植被定量反演的重要基础；像元的导数光谱分析可以消除土壤背景的影响，是进行植被生物量和盖度定量反演的有力工具；建立了荒漠化监测主要评价因子的定量反演模型，并分析了模型的适用性。

The following results are made from this research: Assessing data quality and band combination of different bands in line with geo-target features in desertification areas, and determining basic bands for desertification monitoring. And understanding and studying the spectral features and variation rules of geo-targets in the experimental area, raising that it is the basis of geo-targets information collection with imaging spectrometer data to understand spectral features and variation rules of geo-targets, realizing that in a great extent spectral-integrated-form-based classification method can remove the phenomenon of "different spectrum with same objects" resulted from reflection ratio curve translation because of the angle change among sensor, targets and observation direction, and the average and variance images can be introduced to solve the problem of two kinds of geo-target with similar spectral forms and much different values of whole reflectionratio. It is suggested that "red edge" range bands of vegetation, which has close relationship with vegetation cover and biomass, is the main characteristic bands and important basis for careful vegetation classification and quantitative retrieval, and pixel-based derivative spectral analysis is very useful for removing the effects of soil background values and quantitatively retrieving vegetation biomass and cover. The remote sense quantitative retrieval model is developed for main appraisable factors of desertification monitoring assessment with imaging spectrometer data and then the applicability of model is analyzed.

研究结果如下：首先针对荒漠化地区的地物特征，对高光谱数据不同波段的数据质量、波段组合进行了评价，提出了适用于荒漠化监测的基本波段选择集；初步了解和掌握了研究地区的地物光谱特性及变异规律，进一步明确了掌握地物光谱特征和变异规律是用成像光谱仪数据提取地物信息的基础；发现了基于光谱整体形状的分类方法在很大程度上能够消除由于传感器、地物目标观测方向之间的角度变化引起的反射率曲线整体平移的&同物异谱&现象，对于谱形相似而整体反射率的值相差较大的两类地物，通过引入均值和方差图像参与分类得到解决；研究还表明在植被&红边&范围内的波段是进行荒漠化监测的主要特征波段，这些波段与植被生物量和盖度都有密切的关系，是开展精细植被分类研究和植被定量反演的重要基础；像元的导数光谱分析可以消除土壤背景的影响，是进行植被生物量和盖度定量反演的有力工具；建立了荒漠化监测主要评价因子的定量反演模型，并分析了模型的适用性。