求解模型对欧拉矢量的影响

利用GNSS水平运动场求解欧拉矢量时,待估参数的个数会对欧拉矢量结果产生影响,针对该问题本文分别从理论推导和具体算例角度进行了分析.首先从理论上推导出不同的求解模型得到的欧拉矢量的差异;然后以2004 ～2007年中国大陆GNSS水平运动场为基础,选用两种常用的求解模型(块体整体旋转模型和块体的整体旋转与均匀应变模型),讨论了求解模型对欧拉矢量及后续研究的影响.结果表明,两种模型下块体整体旋转的差异最大可达2.60mm·a-1,是不能忽略的.因此认为选用不同的块体运动模型会得到不同的地壳水平运动图像,在地壳水平运动分析中对此需加以重视.     

Comparison of direct statistical and indirect statistical-deterministic frameworks in downscaling river low-flow indices

ABSTRACT

This work explores the ability of two methodologies in downscaling hydrological indices characterizing the low flow regime of three salmon rivers in Eastern Canada: Moisie, Romaine and Ouelle. The selected indices describe four aspects of the low flow regime of these rivers: amplitude, frequency, variability and timing. The first methodology (direct downscaling) ascertains a direct link between large-scale atmospheric variables (the predictors) and low flow indices (the predictands). The second (indirect downscaling) involves downscaling precipitation and air temperature (local climate variables) that are introduced into a hydrological model to simulate flows. Synthetic flow time series are subsequently used to calculate the low flow indices. The statistical models used for downscaling low flow hydrological indices and local climate variables are: Sparse Bayesian Learning and Multiple Linear Regression. The results showed that direct downscaling using Sparse Bayesian Learning surpassed the other approaches with respect to goodness of fit and generalization ability.

Editor D. Koutsoyiannis; Associate editor K. Hamed     

面向大数据时代的数据融合系统之空间数据挖掘、分析和改进

多重空间数据因其可用性及几何和主题方面的质量差异,催生了针对数据挖掘方法研究的新系统开发,其中包括了异构空间数据结构分析与改进的处理进程。本文介绍了空间数据融合系统（ DAFU）的概念、架构与功能性方面的内容,DAFU能够有效使用异构空间数据信息并可进行地理数据的个体使用。     

Change detection of surface mining activity and reclamation based on a machine learning approach of multi-temporal Landsat TM imagery

Being able to quantify land cover changes due to mining and reclamation at a watershed scale is of critical importance in managing and assessing their potential impacts to the Earth system. In this study, a remote sensing-based methodology is proposed for quantifying the impact of surface mining activity and reclamation from a watershed to local scale. The method is based on a Support Vector Machines (SVMs) classifier combined with multi-temporal change detection of Landsat TM imagery. The performance of the technique was evaluated at selected open mining sites located in the island of Milos in Greece. Assessment of the mining impact in the studied areas was based on the confusion matrix statistics, supported by co-orbital QuickBird-2 very high spatial resolution imagery. Overall classification accuracy of the thematic land cover maps produced was reported over 90%. Our analysis showed expansion of mining activity throughout the whole 23-year study period, while the transition of mining areas to soil and vegetation was evident in varying rates. Our results evidenced the ability of the method under investigation in deriving highly and accurate land cover change maps, able to identify the mining areas as well as those in which excavation was replaced by natural vegetation. All in all, the proposed technique showed considerable promise towards the support of a sustainable environmental development and prudent resource management.     

Motion of animated streamlets appears to surpass their graphical alterations in human visual detection of vector field maxima

ABSTRACT

Animations have become a frequently utilized illustration technique on maps but changes in their graphical loading remain understudied in empirical geovisualization and cartographic research. Animated streamlets have gained attention as an illustrative animation technique and have become popular on widely viewed maps. We conducted an experiment to investigate how altering four major animation parameters of animated streamlets affects people’s reading performance of field maxima on vector fields. The study involved 73 participants who performed reaction-time tasks on pointing maxima on vector field stimuli. Reaction times and correctness of answers changed surprisingly little between visually different animations, with only a few occasional statistical significances. The results suggest that motion of animated streamlets is such a strong visual cue that altering graphical parameters makes only little difference when searching for the maxima. This leads to the conclusion that, for this kind of a task, animated streamlets on maps can be designed relatively freely in graphical terms and their style fitted to other contents of the map. In the broader visual and geovisual analytics context, the results can lead to more generally hypothesizing that graphical loading of animations with continuous motion flux could be altered without severely affecting their communicative power.     

粘弹性介质地震波传播特征及反射特征研究

理想弹性介质并不能解决许多复杂的实际问题。在实际介质中,地震波的传播过程存在吸收作用,使地震波能量发生了损耗、频带变窄、相位延迟、频率降低,尤其是高频部份。这种特性可以用传播矢量和衰减矢量来表示,衰减矢量越大,介质的吸收越强。这里通过引入广义平面波、纵横波品质因子以及衰减角,利用应力应变关系和连续性条件,推导了粘弹性介质精确的Zoeppritz方程,并通过求解精确的Zoeppritz方程,分析了粘弹性介质中传播矢量、衰减矢量、纵波反射系数、转换波反射系数与频率、衰减角、入射角、品质因子、速度等物理量之间的关系,详细地了解了粘弹性介质中地震波传播特征及反射特征,为粘弹性介质中储层预测问题的研究提供了理论基础。     

基于BJ -1小卫星遥感数据的矿区土地覆盖变化检测

为了评价利用北京一号小卫星(BJ-I)遥感数据监测煤矿区土地利用/地表覆盖变化的效果,针对其数据特点,选择基于图像信息运算和图像信息变换的直接变化检洲法以及分类后比较法,对徐州东矿区2007～2008年土地利用/地表覆盖变化情况进行检测,以对比、评价各种方法在土地利用/地表覆盖变化检测中的应用效果和BJ -1数据的适用...     

基于球结构支持向量机的QuickBird影像分类分析

在支持向量机多类识别基础上探讨以球结构替代传统超平面支持向量机对QuickBird影像进行分类的可行性,对重叠区域的数据分类采用新规则,提高球结构支持向量机算法的泛化性能,并将分类结果与最小距离法、最大似然法分类结果进行比较,实验结果表明该算法有效可行,降低了二次规划的复杂度,缩短了样本训练时间.     

支持向量机在GPS高程异常中的应用

本文论述了支持向量机的回归算法,提出了基于支持向量机的GPS高程异常拟合方法,并在MATLAB中编制了相应的支持向量机程序,建立了相应的GPS高程异常模型.以实例数据讨论了基于支持向量机的GPS高程异常分析方法.研究表明:用支持向量机技术建立GPS高程异常模型是可行的和有效的.     

陀螺经纬仪的仪器常数随温度漂移规律的研究

对某型陀螺经纬仪的仪器常数受环境温度的影响进行实验,利用数理统计方法分析、处理了各温度下仪器常数的数据,发现其变化符合线性规律,从而可实现温度对仪器常数的漂移影响的自动补偿。