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101.
由于SAR影像具有乘性相干斑噪声,某些对光学影像有较好检测性能的边缘检测算子,对于SAR影像并不适用,因此本文提出了一种将改进后的Ratio算子与Canny算子相组合的新方法。首先采用多种客观评价指标,得出经典方法中的Lee滤波能有效去除噪声,且最大限度保留了梯度信息,适用于边缘检测;然后对边缘检测具有恒虚警特性的Ratio算子进行改进,改进后的算子更利于影像归一化处理;最后利用改进后的Ratio算子与Canny算子组合成新方法。试验结果证明,组合后的新方法显著提高了边缘检测正确率和定位精度,改善了边缘连续性,具有一定的有效性和实用性。 相似文献
102.
Granular filters retain base material within the narrowest constrictions of their void network. A direct comparison of the base material particle size distribution (PSD) and the filter constriction size distribution (CSD) cannot easily be used to assess filter-base compatibility. Here a conceptually simple random-walk network model using a filter CSD derived from discrete element modelling and base PSD is used to assess filter-base compatibility. Following verification using experimental data the model is applied to assess empirical ratios between filter and base characteristic diameters. The effects of filter density, void connectivity and blocking in the first few filter layers are highlighted. 相似文献
103.
将滑坡的变形看作时间、月降雨量、气温的函数,使用泰勒级数建立它们的函数关系,并将泰勒级数展开至二次项,建立卡尔曼滤波模型,用于滑坡变形的预测预报。实例计算表明,卡尔曼滤波模型的拟合效果和预测效果良好,可用于土质滑坡变形的短期预测预报。 相似文献
104.
泥浆在地层中的渗透特性试验研究 总被引:1,自引:0,他引:1
保持开挖孔(槽)的稳定性是泥浆在地下连续墙、钻孔灌注桩及泥水盾构工法等工程中最重要的作用,是通过泥浆在地层表面形成泥皮,使得泥浆压力平衡地层的土水压力实现的。其中,泥皮的形成是泥浆在地层中的渗透问题。为了探讨泥浆在地层中的渗透规律,采用多组性质不同的泥浆在多种渗透性不同的地层中开展泥浆在地层中的渗透试验,系统地展示了泥浆在地层中不同的渗透现象。渗透完成后泥浆颗粒在地层表面的堆积形态可以分为:泥皮型、泥皮+渗透带型、无泥皮或渗透带3种类型,并且泥浆在地层中的渗透曲线的类型与泥浆颗粒在地层表面的堆积形态的类型有一定的对应关系。泥浆在地层中的渗透试验过程中渗透流量的大小,不仅可以反映泥浆的渗透类型,还可以作为判断是否形成泥皮的标准。 相似文献
105.
边界识别是进行位场数据解释时一项必不可少的任务.现有的边界识别滤波器存在识别边界发散和深部地质体边界模糊的缺点.本文提出增强型均衡滤波器,可有效地改善上述缺点.该滤波器是利用不同阶导数之间的组合来进行地质体边界的识别,并在运算中引入一种计算高阶垂直导数的稳定算法.通过理论模型试验证明增强型均衡滤波器能使浅部与深部地质体的边界同时清晰地显示,且相对于其它边界识别滤波器能更加准确和清晰地识别出地质体的边界.最后将增强型均衡滤波器应用于实测位场数据的解释,根据其识别结果可容易地划分出断裂的水平位置及不同地层之间的界线,并能发现更多的细节信息. 相似文献
106.
??????GPS?????????????????????????????????11??PVA??Position??Velocity??Acceleration)?????????е?????λ??????????????????????????????????????????????????????????????????????ó???????????????????????·??Ч?????????????????????λ???????????????????????????? 相似文献
107.
????????????????y?????GOCE???????????10??60??ε?????????????????GOCE??гλ????в?????????????????????????????????з????????30°??Χ????????仯??????????GOCE??????????????B????(-75°, 250°)???????仯??-9.15 cm/a????B??????????????????? 相似文献
108.
Best estimate seismic analysis are generally based on time‐domain simulations of structural responses. The seismic load is then modeled by a stochastic process representing ground motion. For this purpose, the analyst can use recorded accelerograms or work with synthetically generated ones. The number of ground motion time‐histories available for a given scenario and site condition is limited and generally not sufficient for carrying out more advanced probabilistic structural response analysis. It is then necessary to have at our disposal methods that allow for generating synthetic accelerograms that realistically characterize earthquake ground motions. However, most of the methods proposed in literature for generating synthetic accelerograms do not accurately reproduce the natural variability of ground motion parameters (such as PGA, cumulative absolute velocity, and Arias intensity) observed for recorded time histories. In this paper, we introduce a new method for generating synthetic ground motion, based on Karhunen‐Loève decomposition and a non‐Gaussian stochastic model. The proposed method enables the structural analyst to simulate ground motion time histories featuring the properties mentioned above. To demonstrate its capability, we study the influence of the simulation method on different ground motion parameters and on soil response spectra. We finally compute fragility curves to illustrate the practical application of the proposed method. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献
109.
《水文科学杂志》2012,57(1):87-101
ABSTRACTThe coefficient of determination R2 and Pearson correlation coefficient ρ = R are standard metrics in hydrology for the evaluation of the goodness of fit between model simulations and observations, and as measures of the degree of dependence of one variable upon another. We show that the standard product moment estimator of ρ, termed r, while well-behaved for bivariate normal data, is upward biased and highly variable for bivariate non-normal data. We introduce three alternative estimators of ρ which are nearly unbiased and exhibit much less variability than r for non-normal data. We also document remarkable upward bias and tremendous increases in variability associated with r using both synthetic data and daily streamflow simulations from 905 calibrated rainfall–runoff models. We show that estimators of ρ = R accounting for skewness are needed for daily streamflow series because they exhibit high variability and skewness compared to, for example, monthly/annual series, where r should perform well. 相似文献
110.
The response of saltation to wind speed fluctuations 总被引:2,自引:0,他引:2
The response time of saltation to spatial or temporal wind speed fluctuations constitutes an important control parameter for aeolian sediment transport and deposition. In this paper, we present direct measurements of the response time obtained from several field experiments. The sand transport was studied using six small microphones arranged in a vertical profile and collocated with a sonic anemometer, a webcam and a cup anemometer tower. The webcam was coupled with the sonic anemometer via a personal computer and provides information on creeping and saltating grains with a sampling rate of 10 Hz. Sediment transport measurements were obtained over four periods. The Wiener filter, a signal processing technique, is used to obtain a discrete transfer function that relates the horizontal wind speed and the non‐intermittent sand transport. The transfer function can be established using an exponential function with a time constant or characteristic response time τ without time shift. The response time fluctuated between zero and 1·5 seconds depending on the turbulence intensity, the saltation activity, the measuring height and sampling rates. The Wiener filter coefficients suggest that the response of saltation to wind speed alterations is determined by more than one process. Copyright © 2012 John Wiley & Sons, Ltd. 相似文献