利用偏度平衡自动提取机载LiDAR点云城区道路

针对机载LiDAR点云提取城区道路自动化程度低以及提取道路网不完整的问题,提出一种基于偏度平衡算法自动提取城区道路的方法。首先,计算末次回波点云中邻近点的坡度,依据城市道路设计标准选择坡度阈值,分离非地面点并获得初始道路点云;然后,利用偏度平衡算法计算出最优强度阈值,滤除非道路点,再结合道路与停车场的空间位置关系,通过点距精化初始道路点云;最后,对道路区域进行细化和平滑,得到道路中心线。通过定量分析及对比实验,该方法能够自动地从LiDAR点云中提取出较为完整的道路网。     

一种概率分布的区间数多指标灰色关联模型

针对区间数多指标决策问题中评价值的取值概率问题,提出了基于概率分布的区间数多指标灰色关联模型。该模型将区间数距离映射到概率分布函数上,根据灰色关联分析方法的基本思想,计算决策方案与理想方案之间的关联度,通过关联度对决策方案进行排序。最后给出了两个实例分析,验证了该模型计算结果的正确性与有效性。     

基于最小距离法的面向对象遥感影像分类

主要介绍了集成基于对象的影像分析与最小距离分类方法的原理,采用中卫市World ViewⅡ影像进行土地覆盖分类研究,并将分类结果与传统的基于像元的最小距离分类结果进行对比。目视解译与定量评价均表明:基于对象方法的各项指标更优越,总体精度由0.85提高到0.87,Kappa系数由0.81提高到0.84。因此,对于高分辨率遥感影像,集成最小距离分类器,基于对象的信息提取方法要优于基于像元方法,分类结果精度更高。     

基于加权距离成本的最优学区划分算法

学区划分的科学性与合理性始终是我国教育领域的一个热点课题。最优学区划分算法研究具有重要的现实意义。本文以就近入学为基本原则,以区域学生总体上学距离成本最小化为核心目标,提出了一种基于学生数量加权距离成本的最优学区划分算法,通过FME软件平台设计程序加以实现,利用模拟数据试验验证了算法和程序的可行性与有效性。     

支持近似最短距离查询的高效图加密机制

近似最短距离查询是图检索的基本模式.为了保护外包数据安全,通常对图数据进行加密.已有加密方案使用两跳覆盖模型构建加密图索引,导致索引结构复杂,降低了查询效率.本文提出了一种基于图压缩的加密机制,可以提高图的检索效率,并且支持加密图最短路径查询.该机制使用K-mediods聚类使得图中的节点按照距离分成K个簇,每个簇内的节点使用其中心节点代理,当查询2个点间最短距离时,对于相同簇内的点直接查询,对于簇间的点使用代理节点查询距离.实验结果表明该机制有效地减少了查询时间,提高了查询效率,且查询结果误差度在可接受范围内.     

道路网多特征匹配优化算法

同名道路匹配技术是道路数据集成、更新和融合的重要前提。道路网匹配在智能交通(intelligent transportation system,ITS)与位置服务(location-based service,LBS)等方面具有重要的研究价值和应用意义。本文提出了一种道路网多特征匹配优化算法:首先从形状、距离、语义3方面分别设计了基于面积累积的形状差、综合中值Hausdorff距离和全局加权属性项距离3种相似性度量,以更准确地描述道路待匹配对之间的特征差异;然后通过SVM对相似性特征样本集训练,以构建道路网回归匹配模型;最后利用此模型对未知匹配结果道路待匹配对进行匹配结果预测。大量试验结果表明,本文算法对非线性偏差明显的道路网数据能够实现较高的匹配准确率和召回率,能有效地用于包含多重匹配关系的道路网匹配。     

PM2.5浓度插值中不同空间插值方法对比

针对不同插值方法对于重点大气颗粒物污染源PM_(2.5)大区域内整体分布情况的插值效果和精度存在差异性的问题,该文以石家庄市赵县100个点的PM_(2.5)的数据作为样本点,利用反距离权重法、普通克里格插值法和协同克里格插值法,分别进行PM_(2.5)浓度的空间插值。利用研究区内另外20个PM_(2.5)的数据点进行插值精度的检验。研究结果表明:协同克里格插值的精度最高,但可视化效果不如其他两种方法。     

Deep Penetration of Spudcan Foundation into Double Layered Soils

The spudcan foundation has been widely used in offshore engineering for jack-up figs. However, “punch through”failure often occurs where a stronger soil layer overlays a softer soil layer. In this study, spudcan penetration into double layered soils is investigated numerically. The soil profde is set up as a stronger soil layer overlaying a softer soil layer,with the soil strength ratio ( bottom soil strength / top soil strength) varied from 0.1 to 1.0 ( 1 means uniform soil). The bearing bohaviour is discussed and the beating capacity factors are given for various cases involving different layer thicknesses and different strength ratios of the two clay layers. The development of the plastic zones and the effect of soil selfweight on the beating capacity are also discussed. From this study, it is found that, when a spudcan is distant from the soil layer boundary, the spudean can be analysed with single soil layer data. However, when a spudcan becomes closer to the soil boundary layer, the influence of the lower soft soil layer is significant, and the beating capacity of the spudean decreases. The critical distance is an indication of the occurrence of “punch through” failure. The critical distance between the spudcan and the layer boundary is larger for a rough spudean than the one for a smooth one, and the critical distance decreases with increasing soil strength ratio. The depth of cavity formed during initial spudcan penetration depends on the top layer soil strength, soil strength ratio and unit soil self-weight, and the cavity affects the spudcan beating behaviour as well.     

基于经验模式分解的希尔伯特变换包络提取在机械故障诊断中的应用

本文采用经验模式分解 (EMD)提取信号的内在模函数 (IMF) ,并利用希尔伯特变换对所得IMF进行包络分析 ,提取机械故障特征。与直接对原信号进行包络分析相比较 ,该方法提取的机械故障特征更明显。数值模拟和对故障轴承振动信号分析表明了该方法的有效性。     

An investigation of the multi-scale temporal variability of beach profiles at Duck using wavelet packet transforms

In an earlier paper a particular discrete wavelet transform (DWT) was used to study the complex variation of beach profile changes. However, use of the DWT requires that the sequence of spatial and temporal resolution is fixed as a dyadic sequence, which means that the variability over longer intervals is not characterised well. Here we introduce the discrete wavelet packet transform (DWPT) that uses an adaptive scaling to partition the data variance, according to an entropy cost function. The advantages of this approach are demonstrated by its application to the study of temporal variability of a 22 year record of beach profile data from the Field Research Facility (FRF) at Duck, North Carolina, USA. Time series of beach elevations at three locations across a particular profile are investigated in detail. We conclude that the DWPT provides a superior analysis of non-stationary time series to that of the DWT, with improved resolution of the scale intervals of the variability. The beach elevation around the shoreline is shown to respond at both sub-annual and interannual scales, but variability at an annual scale is weak. Moving seaward into deeper water, the variance is partitioned into fewer and longer scales. It is confirmed that elevation changes around the inner bar at Duck exhibit a strong interannual variation consistent with Plant et al. (Plant, N.G., Holman, R.A. and Freilich, M.H., 1999. A simple model for interannual sandbar behaviour. Journal of Geophysical Research 104(C7), 15755–15776). Around 23% of the variance around the inner bar is explained at the temporal scale of 64–128 months, which is consistent with the bar behaviour of 6 years found by Ruessink et al. (Ruessink, B. G., Wijnberg, K. M., Holman, R. A., Kuriyama, Y. and Van Enckevort, I. M. J., 2003. Intersite comparison of interannual nearshore bar behaviour. Journal of Geophysical Research, 108 (C8): 1–12). A significant new finding is, however, that about 26% of the variance is attributable to temporal scales of 16–21.3 months. Reconstruction of the wavelet packet components for individual temporal scales is shown to provide a means for identifying the impact and scale of non-stationary events, such as storms, on the beach response. This provides further information that can be used to interpret the morphological changes in terms of the forcing processes and also serves to inform morphodynamic modelling.