结合深度学习和图割法的遥感影像建筑物检测

提出一种基于卷积神经网络和图割法的自动提取高分影像建筑物的方法。首先,通过卷积神经网络定位与检测建筑物的位置,逐一提取单个建筑物轮廓,利用检测结果分别建立建筑物和非建筑物的高斯混合模型（GMM）,然后结合最大流最小割的图像分割方式实现全局优化,完成建筑物初步提取,最后用形态学进行优化。通过试验证明了该方法的可行性。     

A surface network based method for studying urban hierarchies by night time light remote sensing data

Urban hierarchies are closely related to economic growth, urban planning and sustainable urban development. Due to the limited availability of reliable statistical data at fine scales, most existing studies on urban hierarchy characterization failed to capture the detailed urban spatial structure information. Previous studies have demonstrated that night time light data are correlated with many urban socio-economic indicators and hence can be used to characterize urban hierarchies. This paper presents a novel method for studying urban hierarchies from night time light data. Night time light data were first conceptualized as continuous mathematical surfaces, termed night time light surfaces. From the morphology of these surfaces the corresponding surface networks were derived. Hereafter, a night time light intensity (NTLI) graph was defined to describe the morphology of the surface network. Then, structural similarity between the night time light surfaces of any two different cities was calculated via a threshold-based maximum common induced graph searching algorithm. Finally, urban hierarchies were defined on the basis of the structural similarities between different cities. Using the 2015 annual NPP-VIIRS night time light data, the urban hierarchies of 32 major cities in China were successfully examined. The results are highly consistent with the reference urban hierarchies.     

基于路网数据和复杂图论的中国城市交通布局评价

城市化的快速发展推动了我国城市道路网的不断扩张和发展.城市道路网是一个动态、开放、自组织的空间复杂网络,构成了城市的结构框架,研究城市道路网的结构特征对路网规划和城市建设有着重要的应用价值.在国内城市道路网络结构特征的相关研究中,很少有学者基于道路走向的视角对整个城市路网结构进行研究,也缺少对全国主要城市路网的整体性评...     

基于二分图的温度网络拓扑性质研究

利用中国地区435个台站1961—2002年逐日平均温度序列,将温度变化发生在9天时间尺度上的特征编码在网络中,通过研究二分图温度网络(BGT网络)中节点与项目的关系,揭示出9天时间尺度上温度变化的特征及其在空间上的拓扑统计性质.网络中各节点RRRD, RrDD, eeed, DRRD, DDRR等所代表的温度波动模态在网络中异常频发,对9天尺度温度变化的预报有一定的指导意义.统计网络的节点度分布,集群系数等拓扑结构特征量,发现BGT网络服从正态分布特征.BGT网络项目内节点度的多样性大体上     

黑铜矿、蓝铜矿、孔雀石溶解度图的绘制

本文阐述了如何用热力学方法绘制 Cu(Ⅱ)的氧化物、氢氧化物、碳酸盐矿物的溶解度图。     

改进磁变仪布局的研究

本文讨论了各分量磁变仪磁针之间的相互影响以及地磁场各分量的变化、记录光入射角对记录的影响，并由此认为一套磁变仪的布局应满意三项标准：（１）各分量仪磁针间的相互静磁影响要小，且任一磁针受其它磁针工作的影响要低于该分量仪记录的分辨率；（２）各分量仪的状态函数稳定，即保持定向能力强；（３）可产生较高精度的线性记录磁照图。鉴于目前的磁变仪布局与此三标准有明显差距，故本文提出了一种新的布局方案，可满足此三项     

基于启发式图搜索的遥感影像道路半自动提取

启发式图搜索法用于线状目标识别的原理是：用图结构表示边缘点和边缘段，根据启发函数计算顶点权值，在图的路径上建立相应的代价函数，通过在图中搜索对应的最小代价的通道以找到最优路径。图搜索法是一种全局最优方法，它在受噪声影响较大时效果仍然较好。文中使用了启发式图搜索法（A*算法）实现了道路的半自动跟踪。它的基本思路是：首先利用自适应平滑滤波算子进行道路信息增强，然后对传统的道路数学模型进行了进一步的扩展，突出了对道路几何特性和辐射特性的描述，并依此构建图搜索的代价函数，实现了基于启发式图搜索法A*算法的道路半自动跟踪。经实验证明，该方法进行遥感影像的道路半自动提取效果较好。     

透视坐标系中专题量化信息的可视化研究

该文阐述了透视坐标系的概念 ,列举了多种透视坐标网中量化信息的图解实例 ,力求进一步丰富和提高专题地图图形可视化的表现能力。     

Stochastic perturbation analysis of groundwater flow. Spatially variable soils,semi-infinite domains and large fluctuations

As is well known, a complete stochastic solution of the stochastic differential equation governing saturated groundwater flow leads to an infinite hierarchy of equations in terms of higher-order moments. Perturbation techniques are commonly used to close this hierarchy, using power-series expansions. These methods are applied by truncating the series after a finite number of terms, and products of random gradients of conductivity and head potential are neglected. Uncertainty regarding the number or terms required to yield a sufficiently accurate result is a significant drawback with the application of power series-based perturbation methods for such problems. Low-order series truncation may be incapable of representing fundamental characteristics of flow and can lead to physically unreasonable and inaccurate solutions of the stochastic flow equation. To support this argument, one-dimensional, steady-state, saturated groundwater flow is examined, for the case of a spatially distributed hydraulic conductivity field. An ordinary power-series perturbation method is used to approximate the mean head, using second-order statistics to characterize the conductivity field. Then an interactive perturbation approach is introduced, which yields improved results compared to low-order, power-series perturbation methods for situations where strong interactions exist between terms in such approximations. The interactive perturbation concept is further developed using Feynman-type diagrams and graph theory, which reduce the original stochastic flow problem to a closed set of equations for the mean and the covariance functions. Both theoretical and practical advantages of diagrammatic solutions are discussed; these include the study of bounded domains and large fluctuations.     

线性体图像自动矢量化算法研究

依据线图的结构特点,首先提取节点信息快速抓住图像的总体拓扑结构,然后以节点信息指导进行矢量跟踪,能够有效解决复杂的交叉点问题,提高矢量化的效率和精度。基于节点信息指导和对不同连通体分类跟踪的方法避免了跟踪起始点选取的随意性和跟踪方向选取的盲目性,并具有抗噪性好和适应性强的特点。