MapObjects组件中Shape格式到Vct格式的转化方法

介绍了以VC＋＋为程序开发平台,基于MapObjects地图组件,实现将shape文件格式转换成vet格式的方法,从而实现两种数据格式的共享,提高数据的利用率。     

Matlab混合编程的海底实时观测数据可视化

通过分析海底观测仪器的数据特点,探索了基于MATCOM的Matlab混合编程来实现海底实时观测数据可视化的方法。采用ADO.NET技术远程访问SQL Server数据库中的当日日志表以获取海底实时观测数据,利用了VC＋＋.NET的友好交互开发环境和Matlab强大的绘图函数,实现对海底物理、化学、能源等实时观测数据的图...     

遥感影像成矿蚀变信息提取——以望湘—幕阜山为例

以望湘—幕阜山地区的蚀变信息提取研究为例,选用ETM＋和ASTER影像作为遥感数据源,采用主成分分析、波段比值分析等影像处理方法研究矿物蚀变信息提取,并基于GIS综合分析研究圈定出找矿靶区。     

道路信息管理系统的设计与实现

论述了基于传统关系数据库建立道路信息管理系统的空间数据库引擎的理论和方法，着重分析了VC＋＋的几种数据库操纵机制，提出了一种基于DAO、ADO和ODBC建立道路信息管理系统的方法。     

可编辑复杂线状符号库的设计与实现

针埘GDI＋绘制复杂线状符号存在符号不可编辑与遮捎等问题,设计了一种可编辑的复杂线状符号的组织方法,该方法将复杂线状符号分解为实线、虚线和点线蔓种基本单元,进而设计了基于这一种基本单元的复杂线状符号参数描述方法,解决了GDI＋绘制复杂线状符号存在符号不可编辑与遮挡等问题。采用C#实现了可编辑线状符弓库的设计与开发．建立了1：10000地形图符号库。最后,对本文方法与GDI＋方法的绘制效率进行了比较试验。试验表明本文方法不仅解决了GDI＋绘制复杂线状符号存在符号不可编辑与遮挡等问题．并且绘制效率也明显优于GDI＋方法．     

基于MapInfo平台的GIS应用集成开发

以可视化编程语言Visual C＋＋为例,详细介绍基于MapInfo地理信息系统平台的GIS应用集成开发方法,并介绍集成开发中所使用到的OLE调用、回调等主要技术。最后,给出了一个具体的应用实例。实践也证明地图集成开发是一种较为有效的GIS应用的开发模式。     

基于语义模型的地图符号库设计研究

通过深入分析地图符号的语义扩展和解析地图符号的语言学实体特征,结合地图符号的数学定义,借助转换生成语法规则提出了基于语义的形式化地图符号模型。基于该模型的相关思想方法和面向对象的Visual C^＋＋．NET编程语言设计并开发了地图符号制作工具。     

城市地下空间资源质量评估基本单元体的研究

提出了基于Grid＋Voxel的基本单元体划分方法及不同类型属性信息提取的量化模型，有效地解决了地下空间资源质量评估最小近似均质体的3D剖分，及基于基本单元体不同类型的属性信息定量提取问题，修正了传统的以地面为参照的2D平面单元划分方法，是城市地下空间资源质量评估基本分析单元划分的一种有效的新方法。     

面向危机管理的地理事件标注与检索

随着我国经济的快速发展,如何快速实现突发事件、自然灾害等危机事件的管理、发布与处置对政府职能人员具有重要意义。本文以要素单元为基本单位,在Google地图服务的支持下,基于ASP.NET＋C#网页开发技术、Ajax技术实现了面向危机管理的地理事件的动态标注、快速检索与实时发布。结果表明该方法有利于地理事件中带有时间标签和位置信息的要素单元的表达,提高了危机事件的应急管理水平。     

基于OpenGL的3维虚拟林相研究

本文介绍了研发虚拟林相三维可视化系统的技术流程与实现方法,该系统研发基于目前较流行的以Visual StudioC＋＋开发组件调用OpenGL三维图形库的方法,自主研发出虚拟林相三维可视化系统。该系统按三角带组织DEM数据并读入VC,采用LOD、四叉树技术自主研发了标准真实DEM数据构建三维地形的导入引擎,实现了地形可视化以及一些基本功能。为还原真实的地形地貌．应用OpenGL中的纹理映射、光照、场景分割、反走样、八叉树、雾化等三维可视化特性,增强了三维可视化效果。     

基于ArcGIS的矿山资源遥感监测符号库的建立

在矿产资源开发多目标遥感调查与监测项目中,ArcGIS自带的符号库已远不能满足专业需求,须建立新的专业符号库。本文研究ArcGIS符号管理器(Style Manager)及Font Creator 5.0字体编辑器制作符号的方法。针对某矿山区域,建立了矿产资源开发多目标遥感调查与监测专题符号库,并基于ArcGIS Engine和VB.net编程方法,实现地图点、线、面要素的自动符号化显示与管理功能。     

关系数据库的符号化预处理

从实践的角度分析当前3种主要的符号化控制方式,提出基于关系数据库的符号化预处理方式,实践证明,该方式既可以很好地解决符号化的准确性问题,还能保证地图的显示速度。     

Application of fuzzy AHP method to IOCG prospectivity mapping: A case study in Taherabad prospecting area,eastern Iran

Using fuzzy analytical hierarchy process (AHP) technique, we propose a method for mineral prospectivity mapping (MPM) which is commonly used for exploration of mineral deposits. The fuzzy AHP is a popular technique which has been applied for multi-criteria decision-making (MCDM) problems. In this paper we used fuzzy AHP and geospatial information system (GIS) to generate prospectivity model for Iron Oxide Copper-Gold (IOCG) mineralization on the basis of its conceptual model and geo-evidence layers derived from geological, geochemical, and geophysical data in Taherabad area, eastern Iran. The FuzzyAHP was used to determine the weights belonging to each criterion. Three geoscientists knowledge on exploration of IOCG-type mineralization have been applied to assign weights to evidence layers in fuzzy AHP MPM approach. After assigning normalized weights to all evidential layers, fuzzy operator was applied to integrate weighted evidence layers. Finally for evaluating the ability of the applied approach to delineate reliable target areas, locations of known mineral deposits in the study area were used. The results demonstrate the acceptable outcomes for IOCG exploration.     

基于特征元的符号库数据结构及算法探讨

空间数据符号化是GIS中数据可视化的重要手段,是目前GIS实现过程中计算机时间开销最大的工作之一.提高空间数据符号化效率,是提高GIS软件性能的重要方面,本文提出考虑全局优化、面向符号对象整体、基于特征元的算法设计思想.据此提出一种基于特征元的符号库的数据结构及实现算法.实验表明,运用该算法及相关数据结构的空间数据符号化软件不仅效率优于传统算法,而且扩展了符号库法实现空间数据符号化的功能.     

基于ArcGIS Engine地图符号化效率的几点思考

地图数据符号化是地图可视化的重要手段,是GIS实现过程中计算机时间最长的工作之一.因此,快捷、实时实现GIS系统地图数据符号化是衡量和评价GIS系统性能的重要指标.本文从应用出发.介绍了地图数据符号化的基本过程,提出了提高地图数据符号化效率的若干方法,分析了符号化方法的特点,从而为相关应用系统的开发提供了有价值的技术经验,提高了系统的开发效率.     

Extraction of Alteration Mineral Information from Moderate Remote Sensing Images Using MPS Method

Although alteration minerals related to metallogenesis is very important in mineral exploration, information of alteration mineral is weakly expressed in remote sensing imagery, which is often subject to interfering noise and sometimes limited in spectral and spatial resolutions. Because of easy access, moderate images are the main sources of alteration mineral information. Therefore, it is very important to develop alteration mineral information extraction methods from remote sensing images. In this paper, a combined method based on Mask, principal component analysis (PCA) and support vector machine method (SVM) was used to extract alteration mineral information from Enhanced thematic mapper plus remote sensing data with limited spectral and spatial resolutions. First, a mask image of the remote sensing imagery was created to remove interference information such as vegetation, shadow and water. Then, PCA was employed to collect sample data relating to iron, argillic, and carbonatization alteration. Finally, SVM was used to deal with alteration anomaly and build a feature extraction model of high accuracy. The Mask-PCA-SVM model is used to extract alteration mineral information from remote sensing images of Hatu area, Xinjiang Uygur Autonomous Regions, China. The results show that the new methods proposed in this paper can coincide well with known deposits occurrences, rate reached 86.51%. While, the consistent rate with known deposits of the ratio model, PCA model and Spectral angle mapper model were only 3.37, 65.08 and 69.05% respectively. This suggests that the proposed model can find the actual distribution of mineral deposits more effectively by reducing interference to a greater degree.     

基于Web的地图符号设计与实现

地图符号化是当前数字地图研究的重要内容之一。着重论述了Web环境下地图符号的构成特征、地图符号的组织及符号配置,以及符号库的基本传输方法,最后给出具体实例,说明了该实践的有效性与可行性。     

新亚欧大陆桥(中国段)沿线典型矿床(田)的遥感地质分析

被誉为“黄金走廊”的新亚欧大陆桥(中国段)沿线地带,矿产资源十分丰富,尤其以能源、有色金属、贵稀金属矿产最为丰富,并在全国占有十分重要的位置。作者在对全线矿产资源进行遥感调查的基础上,对几种大型矿产(田)的遥感地质特征进行系统的分析论述。     

An empirical evaluation of three elevation change symbolization methods along routes in bicycle maps

ABSTRACT

Elevation change is critical for choosing a route when bicycling. We detail an empirical study in which we comparatively evaluated three linear symbolization types (color hue, color-coded arrows, and elevation profiles) to depict elevation change in bicycle maps for two common bicycle route planning tasks: relative height detection and slope identification. Participants performed most accurately with the color-coded arrows for relative height detection tasks, whereas symbolization did not significantly influence map-use performance for slope identification. Participants preferred the elevation profile, in spite of their lowest performance with this method overall. Our rare empirical findings offer much needed new insights into the function and appropriateness of common elevation symbolization methods, specifically to identify elevation change in bicycle route planning tasks in urban areas where map display real estate is already very limited.     

Colour Hue and Texture Evaluation for 3D Symbolization of Indoor Environments Using RGB-D Data

In this work an evaluation procedure of the use of colour hue and texture for 3D symbolization of indoor environments using RGB-D data is presented. The main characteristics of the proposed method involve RGB-D cameras to collect colour and depth data and the evaluation of the visual variables colour hue and texture combined with visual aspects such as lighting and camera configuration for the symbolization of 3D indoor environments. High quality coloured point clouds of indoor environments are obtained with the Kinect sensor and then registered and processed in order to create 3D models. These sets of point clouds can be detected, recognized and classified under one of the three following main categories: ceiling, wall or floor. After classification is done, the resulting point clouds are properly treated as 3D triangular meshes in the MeshLab software. These meshes are then filtered to form complete surfaces which are then refined before being considered for visual variable application. We evaluated the proposed method on several indoor environments to show that it efficiently combines the colour and depth data obtained from RGB-D cameras with different parameters defined for the visual variables colour hue and texture for 3D symbolization of indoor environments.