智慧城市时空信息云平台建设研究

以完善的云环境建设为支撑,以构建标准安全的防护体系为保障,以时空信息云平台建设为基础,以智慧应用建设为重点,促成跨域、跨部门、跨层级的数据融合,提高城市综合智能化水平,使城市运转更加高效、敏捷、低碳与和谐。     

研习新时期地理信息系统中测量数据的管理方式

地理信息系统是把各种信息用地理以及相关的视图相结合,利用计算机及数据库技术对所需的信息进行收集和分析,经过分析和研究处理过的信息具有很高的使用价值,能够为土地利用、城市规划等各种大型工程提供数据参考。本文在简要阐述地理信息系统中测量数据管理问题的基础上,对新时期地理信息系统中测量数据管理的方式和优缺点及无缝空间数据管理的技术原理和优缺点进行了详细研究和分析。     

基于3D激光扫描的变形监测技术研究

传统基于GPS和全站仪的地表变形监测手段由于监测点少,难以对滑坡体进行整体监测,本文提出基于点云所成模型间比较的变形信息提取方法,结合试验验证了算法的效果。结果表明,地面三维激光扫描技术应用于变形监测领域是完全可行的,虽然其在测量精度上略低于GPS、全站仪等传统监测手段,但对大范围区域快速、连续、全方位监测的优势是其他监测手段所不具备的。     

GIS下地貌形态特征对土壤水土流失研究的影响

水土流失会导致生态环境恶化、自然灾害频发,近年来,以水土保持为主要内容的生态环境建设越来越受到关注。本文利用SRTM数据,其分辨率为3弧秒,确定模型所需的各种因子,借助地理信息系统软件Arc GIS空间分析平台,处理研究区域的DEM数据,生成研究区坡度、坡向、地表切割深度和平面曲率图、剖面曲率图。利用对这些因子的分析结果,选择美国通用的水土流失方程(USLE)对研究区域的土壤侵蚀强度进行计算,从而确定了地貌形态特征对土壤水土流失的影响。     

应急地理信息数据管理探讨

应急地理信息作为地理信息的重要组成部分,涉及众多行业部门,要想有效地利用应急地理信息资源,对应急地理信息数据管理的研究则非常重要。本文以应急地理信息的分类、资源目录管理、采集与入库、授权与共享为主要研究内容,结合数据管理原型对研究内容进行了实践开发。为建设应急地理信息服务平台积累了经验,为政府应急部门快速利用应急信息分析研判、处置应急事件提供了技术支撑。     

专题地图数据库快速成图系统的研究

针对吉林省专题地图的发展现状,详细地阐述了专题地图数据库快速出图系统的软件硬件配置、需求规定、运行模式、总体架构、地图缩编流程,以及数据库管理系统的功能设计,实现了不同区域、不同比例尺、不同内容的地图的快速整合和专题地图的快速生成。     

并行处理技术在地理信息数据处理中的应用

随着地理信息存储量的飞速增长,传统的单进程、集中式的数据处理方式已不能满足基于网络的地理信息服务的效能要求。分析对比了OpenMP,MPI和MapReduce等主流并行编程模式,将关系型数据库与分布式空间数据管理系统相结合,提出了面向并行处理的地理信息存储模型和数据组织模型,将该模型与传统模型进行了对比分析,并基于MapReduce实现了地理空间数据并行处理框架,选取了矢量数据装载、影像数据装载以及数据切片作为典型数据处理案例开展对比实验,该技术方案的处理效率均数倍于传统技术方案。实验表明,该模型能够很好地支持并行处理框架,可为分布式环境下数据处理中心构建提供一个有效解决方案。     

面向WebGL的矢量数据三维绘制技术

矢量数据的叠加显示能够提高三维虚拟地球的表达效果与分析能力。受限于GPU的计算精度,在三维虚拟地球中矢量数据绘制普遍存在抖动现象和深度冲突现象。对基于WebGL的矢量数据三维绘制中计算精度问题进行了分析,提出了使用CPU RTC技术和GPU RTE技术提高顶点变换的精度,使用多视锥渲染算法和深度平面技术解决深度缓存精度问题。实验证明,这几种技术和算法可以有效缓解抖动现象和深度冲突现象导致的视觉干扰,改善了各种尺度和范围的矢量数据在三维地形上的叠加显示效果。     

Assessing quality of volunteer crowdsourcing contributions: lessons from the Cropland Capture game

Volunteered geographic information (VGI) is the assembly of spatial information based on public input. While VGI has proliferated in recent years, assessing the quality of volunteer-contributed data has proven challenging, leading some to question the efficiency of such programs. In this paper, we compare several quality metrics for individual volunteers’ contributions. The data were the product of the ‘Cropland Capture’ game, in which several thousand volunteers assessed 165,000 images for the presence of cropland over the course of 6 months. We compared agreement between volunteer ratings and an image's majority classification with volunteer self-agreement on repeated images and expert evaluations. We also examined the impact of experience and learning on performance. Volunteer self-agreement was nearly always higher than agreement with majority classifications, and much greater than agreement with expert validations although these metrics were all positively correlated. Volunteer quality showed a broad trend toward improvement with experience, but the highest accuracies were achieved by a handful of moderately active contributors, not the most active volunteers. Our results emphasize the importance of a universal set of expert-validated tasks as a gold standard for evaluating VGI quality.     

Integrating ASTER and GLASS broadband emissivity products using a multi-resolution Kalman filter

In this study, the multi-resolution Kalman filter (MKF) algorithm, which can handle multi-resolution problems with high computational efficiency, was used to blend two emissivity products: the Global LAnd Surface Satellite (GLASS) (BBE) product and the Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) narrowband emissivity (NBE) product. The ASTER NBE product was first converted into a BBE product. A new detrending method was used to transfer the BBEs into a process suitable for the MKF. The new detrending method was superior to the two existing methods. Finally, both the de-trended GLASS and ASTER BBE products were incorporated into the MKF framework to obtain the optimal estimation at each scale. Field measurements collected in North America were used to validate the integrated BBEs. Visually, the fusion map showed good continuity, with the exception of the border areas, and the quality of the fusion map was better than that of the original maps. The validation results indicate that the MKF improved the BBE product accuracy at the coarse scale. In addition, the MKF was capable of recovering missing pixels at a finer scale.