空间线群目标相似度计算模型研究

以空间线群目标的空间统计特征为基础,对线群目标的空间关系和几何特征进行了描述。利用拓扑关系概念邻域图定义线群之间的拓扑关系相似度,利用方向均值定义线群之间的方向关系相似度以及利用"环形方差"定义线群目标之间的距离相似度。结合线群的长度和平均长度、线群密度及线群曲折度,建立了线群目标相似度计算模型,对线群目标相似度进行了整体度量。实验结果表明,相似度计算结果与地物特征比较一致,符合人们的直观认知。     

利用相似性特征进行 Web服务语义匹配

通过对传统语义相似性度量方法的分析和比较,利用相似性关系本身所具有的相对性和传递性,选取共同的领域本体作为相似性比较的基准,提出了基于相似性特征的 Web服务语义匹配算法,解决了现有 Web服务语义相似性度量方法中需要外在文本集、无法对相似性进行定量表达以及相似性区分程度不明显等问题.最后,选取德国人工智能研究中心发布的基于 OWL - S的 geography领域服务测试集进行语义相似性度量对比实验,实验结果证明了所提算法的可行性和有效性.     

图像分类中基于核映射的光谱匹配度量方法

针对多光谱遥感数据特点利用SSV匹配技术改进高斯核函数得到新的KSSV函数,然后在由KSSV核函数映射得到的高维空间中利用SAM匹配技术代替基于欧氏距离的相似性度量。如此可以充分挖掘多光谱影像中的波谱特征信息并有效利用,提高模式识别方法应用的有效性。将此方法分别应用于非监督分类(k均值)与监督分类(最小距离、SVM)的试验表明,改进度量的分类方法可显著提高地类间的可区分度并有效降低类内的不一致性,更有效针对多光谱遥感影像中的地物类型,获得较好的精度改进。     

全边界层选用相似理论对O3、NOx浓度及沉降的影响

将广泛应用于东亚地区的LLA(Lurmann Lloyd Atkinson)化学机制耦合到欧拉型区域空气质量模式(RAQM),并考虑区域污染物长期模拟研究中降水随时间变化的非均匀性,讨论了湍流参数化过程中相似理论在近地层和全边界层的应用对湍流垂直扩散系数(Kz)与干沉降速度(V),O3与NOx浓度的影响。结果表明,全边界层应用相似理论明显低估了Kz值,近地层50m处Kz值被低估20%以上,750m处其值被低估约70%;O3、NOx的干沉降速度在日本东部与南部海域被低估了10%以上,在朝鲜半岛东部和西部海域模拟值普遍偏高。Kz和干沉降速度的不同直接影响污染物的浓度和沉降量分布。Kz值的被低估对NOx浓度有明显影响,在近地层50m处NOx浓度最大可增加约30%,整个边界层中NOx平均浓度除台湾省东北海域外普遍增加5%~20%。O3浓度则受干沉降作用的影响较大。虽然近地层、全边界层分别应用相似理论都较好地模拟了O3与NOx峰值浓度出现的时间,但相似理论应用于全边界层会引起较大的误差。即使是大区域、长期空气质量模拟研究,也建议相似理论仅应用于近地层,且模式第一层高度应设置在常通量层内。     

The Effect of Surface Heterogeneity on the Temperature–Humidity Correlation and the Relative Transport Efficiency

We derive a conceptual model of the flow over heterogeneous terrain consisting of patches with contrasting Bowen ratios. Upward moving eddies are assumed to carry heterogeneous properties, whereas downward moving eddies carry homogeneous properties. This results in a decorrelation of temperature and humidity as the contrast between the patches increases. We show that this model is able to reproduce the relationship developed by Lamaud and Irvine (Boundary-Layer Meteorol. 120:87–109, 2006). Some details differ from their expression but are in accordance with data obtained over African savannah. We extend the conceptual model to a combination of any scalars, not necessarily linked through the surface energy balance (as is the case for temperature and humidity). To this end we introduce a new parameter that describes the surface heterogeneity in surface fluxes. The results of the current model can be used to predict the discrepancy between similarity relationships for different scalars over heterogeneous terrain.     

Rill flow resistance law under equilibrium bed‐load transport conditions

In this paper, a recently deduced flow resistance equation for open channel flow was tested under equilibrium bed‐load transport conditions in a rill. First, the flow resistance equation was deduced applying dimensional analysis and the incomplete self‐similarity condition for the flow velocity distribution. Then, the following steps were carried out for developing the analysis: (a) a relationship (Equation  13 ) between the Γ function of the velocity profile, the rill slope, and the Froude number was calibrated by the available measurements by Jiang et al.; (b) a relationship (Equation  17 ) between the Γ function, the rill slope, the Shields number, and the Froude number was calibrated by the same measurements; and (c) the Darcy–Weisbach friction factor values measured by Jiang et al. were compared with those calculated by the rill flow resistance equation with Γ estimated by Equations  13 and 17 . This last comparison demonstrated that the rill flow resistance equation, in which slope and Shields number, representative of sediment transport effects, are introduced, is characterized by the lowest values of the estimate errors.     

Modelling the internal stress field in argillaceous rocks under humidification/desiccation

This paper deals with analytical and numerical modelling of the internal stress generated in argillaceous rocks during humidification/desiccation processes, which is an essential issue for damage study. This local stress field arises from two mechanisms: (i) complex interactions between free swelling/shrinking clay matrix and non‐strained inclusions of carbonate and quartz and (ii) a self‐restraint effect induced by the moisture gradient during the transient moisture exchange process. The inclusion–matrix interaction is investigated in different cases. Firstly, the analytical solution of the stress around a cylindrical inclusion embedded in an infinite swelling matrix is derived: The inclusion would suffer tension (compression) under humidification (desiccation), and the resulting cracking patterns are discussed. Then, the problem of two inclusions with different distances in an infinite swelling matrix is considered, and it is shown that the local stress around an inclusion will be perturbed and amplified by neighbouring inclusions. Finally, an inclusion outcropping at the free surface of a swelling matrix is modelled as to investigate the effect of free surface: The inclusion–matrix interface undergoes shear stresses of which the maximum is found at the free surface. In addition to the inclusion–matrix interaction, the self‐restraint effect is investigated: The induced stress is maximal at the beginning of humidification/desiccation processes and vanishes gradually with time. The quantity of the self‐restraint stress is strongly controlled by the hydric loading rate. Copyright © 2014 John Wiley & Sons, Ltd.     

地理相似性：地理学的第三定律?

定律对知识的理解和传播具有极大的推动作用。本文通过对比地理学中的定律和物理学中的定律的异同之处,认为地理学的定律虽然在形式上和提出的方式上与经典的力学定律有所区别,但仍符合人们对“定律”的定义。在共识地理学定律存在的前提下,本文阐述了地理学的第一定律和第二定律中所体现出的地理学定律的特征——描述性和归纳性。基于这些对地理学定律所具有的特征的认识,本文首先介绍了Zhu等从空间推测的角度将所提出的地理学第三定律,即“地理环境越相似,地理特征越相近”,或称地理相似性定律。本文从普遍性、独立性和应用性3个方面探讨了地理相似性是否可以作为地理学的一个定律,认为地理相似性与地理学第一和第二定律相比,有着同样的普遍性,且与第一和第二定律所涉及的规律有着本质上的区别,在应用上可能解决第一和第二定律所面临的挑战,因此应可作为地理学第三定律。     

基于机器学习的稀疏样本下的土壤有机质估算方法

采用GRNN（Generalized Regression Neural Network）和RF（Random Forest）2种机器学习方法构建土壤有机质预测模型,以提高稀疏样本情况下的土壤有机质估算精度。依据北京市大兴区农用地2007年的土壤有机质采样数据,按MMSD准则（Minimization of the Mean of the Shortest Distances）抽稀为8种不同采样密度的样本（分别为2703、1352、676、339、169、85、43、22个样本）,分别采用GRNN、RF和Ordinary kriging对各采样密度下的未知采样点进行预测,采用交叉检验的方式验证各采样密度下未知样点的预测精度。随着采样点密度的下降,样点间的空间自相关性逐渐减弱,半变异函数的拟和精度变差,预测点结果误差增大,预测的置信度降低。当抽稀到43个和22个采样点时,样点间的空间自相关性接近歼灭,半变异函数的决定系数较低且残差较大。普通克里格受到采样点数量和采样密度、样点的空间结构的影响比较明显,其预测精度随采样点数量的下降而下降。在85个采样点及以下时,其预测值与观测值之间没有显著的相关性。GRNN和RF的预测精度受采样密度的影响不大,其预测精度在一个较小的范围内波动,其预测值围绕观测值在一定阈值空间内震荡波动,具有较好的相关性,在85个及以下的采样密度时,预测精度相对普通克里格有较大的提升。普通克里格法不适合在稀疏样本条件下空间插值计算,尤其是在空间自相关性比较弱的情况下。机器学习模型能充分学习土壤间环境信息、样点空间邻近效应信息,兼顾属性相似性和空间自相关,具有更好的稳定性和适应性,不容易受到采样点数量、构型和采样密度等因素的影响,即使在采样点空间自相关性很弱的情况下也能做出稳定预测精度。     

基于直线间几何属性特征相似性约束的组直线匹配算法

当影像中存在多个相同或相近的直线特征时,仅利用单直线特征间的相似性进行匹配容易导致算法失效,因此本文提出基于直线间几何属性特征相似性约束的组直线匹配算法。该算法利用直线间的拓扑关系分别对2幅影像上提取的直线进行编组得到特征直线组,并将其作为匹配基元;然后利用核线约束确定候选同名直线组的搜索范围,精简了候选直线组的数量;依据直线间几何属性特征向量的仿射不变性建立直线组的匹配关系,将仿射不变量交比作为基础几何不变性测度,并延伸设计仿射相似度参数,计算出目标直线组与每个候选直线组的仿射相似度或一般相似度,确定2种相似度下总体相似度值最大的特征直线组为其同名直线组,最后将同名直线组分裂为2对同名单直线,对分裂后的结果进行整合可以显著降低冗余匹配,得到“一对一”的匹配单直线。为了验证算法的可靠性,实验选取网上公开的5组典型近景影像进行测试,通过与其他匹配算法的对比分析,结果表明该算法应对影像间存在的视角、旋转和尺度变换等复杂条件均取得了较高的匹配精度,匹配正确率最高有14.5%的提升,且阈值的选择对匹配结果影响微弱,验证了基于直线间几何属性特征相似性约束的组直线算法鲁棒性和匹配稳定性较强。