Quantitative inversion model of soil moisture content was carried out by using the stepwise multiple linear regression and exponential analysis.
采用逐步多元线性回归方法和指数模式分析法，进行了高光谱土壤含水率定量反演。
Joint inversion using different kinds of geophysical data is the important quantitative interpretation tools for integrated geophysics.
因此利用各种地球物理数据的联合反演，是综合地球物理研究的重要定量解释手段。
A posteriori probability analysis method was proposed based on a parallel optimization algorithm, and applied to quantitative analysis of matched inversion results.
构造了一种基于并行优化算法的后验概率分析算法，用于对匹配场反演结果进行定量的概率分析。
We put forward an inversion method of 3D fault parameters (the top deep and the fault displacement etc) of the quantitative interpretation.
提出了定量反演三维断层参数（上顶深、断距等）的方法。
The fitting difference is reduced and the precise of quantitative interpretation is improved by means of joint TF inversion with time and frequency window data.
利用时间窗数据和频率窗数据所进行的联合时-频反演，缩小了拟合差，提高了定量解释精度。
Results of seismic data inversion reveal the abnormal velocity of strata, the quantitative geophysical evidence for the existence of gas hydrate in South China Sea.
而地震反演结果则揭示该研究区存在地层速度结构异常，是南中国海存在天然气水合物的定量地球物理证据。
Results of seismic data inversion reveal the abnormal velocity of strata, the quantitative geophysical evidence for the existence of gas hydrate in South China Sea.
而地震反演结果则揭示该研究区存在地层速度结构异常，是南中国海存在天然气水合物的定量地球物理证据。
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