结合分段三次多项式与Akima法的等高线平滑方法

实际地形一般是连续变化的。根据数字高程模型(Digital Elevation Model,DEM)自动绘制的等高线由折线段相连而成,需要进一步平滑,以便更准确地描绘出实际地形的分布。结合分段三次多项式与Akima法来对等高线进行平滑处理。实验证明该方法效率高,结果满意,达到较好的平滑效果。     

A high-performance cellular automata model for urban simulation based on vectorization and parallel computing technology

Cellular automata (CA) models can simulate complex urban systems through simple rules and have become important tools for studying the spatio-temporal evolution of urban land use. However, the multiple and large-volume data layers, massive geospatial processing and complicated algorithms for automatic calibration in the urban CA models require a high level of computational capability. Unfortunately, the limited performance of sequential computation on a single computing unit (i.e. a central processing unit (CPU) or a graphics processing unit (GPU)) and the high cost of parallel design and programming make it difficult to establish a high-performance urban CA model. As a result of its powerful computational ability and scalability, the vectorization paradigm is becoming increasingly important and has received wide attention with regard to this kind of computational problem. This paper presents a high-performance CA model using vectorization and parallel computing technology for the computation-intensive and data-intensive geospatial processing in urban simulation. To transfer the original algorithm to a vectorized algorithm, we define the neighborhood set of the cell space and improve the operation paradigm of neighborhood computation, transition probability calculation, and cell state transition. The experiments undertaken in this study demonstrate that the vectorized algorithm can greatly reduce the computation time, especially in the environment of a vector programming language, and it is possible to parallelize the algorithm as the data volume increases. The execution time for the simulation of 5-m resolution and 3 × 3 neighborhood decreased from 38,220.43 s to 803.36 s with the vectorized algorithm and was further shortened to 476.54 s by dividing the domain into four computing units. The experiments also indicated that the computational efficiency of the vectorized algorithm is closely related to the neighborhood size and configuration, as well as the shape of the research domain. We can conclude that the combination of vectorization and parallel computing technology can provide scalable solutions to significantly improve the applicability of urban CA.     

等高线光滑中不合理尖角钝化方法研究

在等高线光滑过程中,会出现一些不合理的尖角,影响制图效果,本文提出一种钝化尖角的方法,使经过钝化处理后的等高线更加光滑、制图效果更好。试验表明此方法在钝化尖角的过程中,既能够保持等高线的基本形状,又能够钝化尖角,满足生产要求,具有推广使用的价值。     

基于模糊集合理论的GPS高程多面函数拟合模型平滑因子优选

建立GPS高程多面函数拟合模型,其平滑因子是否合适,对GPS水准高程测量精度将产生重要影响.基于模糊集合理论,提出平滑因子的优选方法,实例分析表明,该方法具有较好的实用价值.     

动态构建福建紫金山铜金矿矿体模型

为了将不同边界品位情况下矿体的形态及由边界品位变化引起的矿体形态变化程度在计算机中动态、实时地展现,同时也为了解矿体在不同工业指标条件下的空间形态,进行了矿体动态建模方法研究。采用了一种新的、基于矿体属性模型向其几何结构模型转化的方法--克里格块体法。通过该方法,基于指示克里格估值技术,使用块体模型＋实体模型的三维数据模型结构,动态地构建出了福建上杭紫金山铜金矿矿体在不同边界品位条件下、信息充分、完备且具高可信度的矿体模型,达到了使建模结果能够真正服务于矿山勘探和生产实践的效果。该方法具有一定的可扩展和易推广的性质,能够完成大多数类似矿山及类似地质体的动态建模过程。     

油库公路油品装卸区交通组织设计与探讨

公路装卸区是油库油品通过公路运输的一个重要区域,也是油库对外的一个重要窗口,作者从油库公路装卸区布置方式和要求,交通组织形式,车辆的种类及交通组织流线方面提出一些设计探讨,使业主在公路装卸区的使用管理上更方便,交通组织更顺畅。     

LIDAR数据不规则建筑物的矢量化

基于LIDAR数据的建筑物边界提取可以结合其它遥感数据,也可以单纯利用点云数据.利用单纯激光数据提出一种对不规则建筑物边界判断及矢量化的方法,可以有效识别出边界线的线型,并对各种弧形进行矢量化.     

土地利用现状图的矢量化方法研究

土地利用现状图的数字化是建立土地利用数据库的主要技术手段之一,图斑作为土地利用现状图的主要要素,其矢量化方法的优化与否不仅关系着整个数据采集的进程,而且还将影响到土地信息系统的稳定与否。文章针对传统的图斑矢量化引起的面域交叉、对象撕裂等问题研究提出了基于弧段的图斑矢量化方法,并通过线状地物与图斑的叠合分析,建立线状地物...     

JOPENS数据库的平滑迁移

由于现使用的测震软件JOPENS系统是建立在MySQL数据库上的,MySQL数据库是面对中小型企业的开源数据库,其性能与稳定性都不及现在主流Oracle。阐述了在MetaMatrix的基础上,实现JOPENS数据库从MySQL到Oracle的平滑迁移。     

GM(1, 1)模型的建模条件

GM(1,1)模型是灰色系统理论的核心预测模型,对GM(1,1)模型的建模条件进行研究是提高模拟精度的基础.采用理论证明和数值算例相结合的方法对GM(1,1)模型的建模条件进行研究,拓展了经典灰色预测模型的级比判定条件.结果表明:当原始序列的累加序列值都相等时,发展系数不存在;提高原始序列光滑度不是提高模拟精度的充分条件.