Automatic search of geospatial features for disaster and emergency management

Although the fast development of OGC (Open Geospatial Consortium) WFS (Web Feature Service) technologies has undoubtedly improved the sharing and synchronization of feature-level geospatial information across diverse resources, literature shows that there are still apparent limitations in the current implementation of OGC WFSs. Currently, the implementation of OGC WFSs only emphasizes syntactic data interoperability via standard interfaces and cannot resolve semantic heterogeneity problems in geospatial data sharing. To help emergency responders and disaster managers find new ways of efficiently searching for needed geospatial information at the feature level, this paper aims to propose a framework for automatic search of geospatial features using Geospatial Semantic Web technologies and natural language interfaces. We focus on two major tasks: (1) intelligent geospatial feature retrieval using Geospatial Semantic Web technologies; (2) a natural language interface to a geospatial knowledge base and web feature services over the Semantic Web. Based on the proposed framework we implemented a prototype. Results show that it is practical to directly discover desirable geospatial features from multiple semantically heterogeneous sources using Geospatial Semantic Web technologies and natural language interfaces.     

Knowledge-based building reconstruction from terrestrial video sequences

The paper presents an automatic method for the reconstruction of building models from video image sequences. These videos may be recorded using a hand-held camera or a camera mounted on a moving car. Such terrestrial video sequences are economic and flexible. Presenting buildings as geometric models–rather than for instance a representation from a simple meshing of 3D points–enables one to perform a wide range of analyses. However, sparse 3D points and 3D edges do not contain topological relations. Therefore, integrating building structure knowledge into the reconstruction steps plays an important role in our method. First, some rules are applied to reasonably group the extracted features. Then, a suitable outline and normal direction are specified for each surface patch. Based on these surface patches, a hybrid model- and data-driven method is used to recover a building model from both the extracted surface patches and hypothesized parts. Using the building structure knowledge leads to a simple and fast reconstruction method, and also enables one to obtain the main structures of buildings. The results show that this method correctly sets up topological relationships between generated surface patches and also obtains reasonable structure models in occluded areas. Therefore, the reconstructed models satisfy requirements for both visualization and analysis.     

地面摄影测量在变形监测中的精度分析

阐述了地面摄影测量中影响精度的主要因素并作了分析讨论,从实际出发,就如何提高地面摄影测量的精度提出了可行措施,对研究地面摄影测量在变形监测中的应用具有指导作用。     

An Adaptive Method of High Accuracy Surface Modeling and Its Application to Simulating Elevation Surfaces

An adaptive method is employed to speed up computation of high accuracy surface modeling (HASM), for which an error indicator and an error estimator are developed. Root mean‐square error (RMSE) is used as the error estimator that is formulated as a function of gully density and grid cell size. The error indicator is developed on the basis of error surfaces for different spatial resolutions, which are interpolated in terms of the absolute errors calculated at sampled points while paying attention to the landform characteristics. The error surfaces indicate the magnitude and distribution of errors in each step of adaptive refinement and make spatial changes to the errors in the simulation process visualized. The adaptive method of high accuracy surface modeling (HASM‐AM) is applied to simulating elevation surface of the Dong‐Zhi tableland with 27.24 million pixels at a spatial resolution of 10 m × 10 m. Test results show that HASM‐AM has greatly speeded up computation by avoiding unnecessary calculations and saving memory. In addition, HASM‐AM improves simulation accuracy.     

基于模板的位置地图表达运行机制研究

对位置地图表达模板及表达约束条件进行分析研究,初步设计基于模板的位置地图表达框架。在顾及用户背景信息、地图显示载体信息、情境信息的综合作用下,通过对情境信息进行解析和推理,建立不同地图叠加要素与位置地图要素表达模板的映射关系,并对位置地图表达的触发原理、触发判断和运行机制进行分析研究。     

21世纪我国面临的测绘基准面问题

大地水准面与深度基准面是测绘垂直基准面的主要因素。文中探讨了我国测绘垂直基准面的现状及其存在的问题 ,提出了改进测绘垂直基准面之拙见 ,以便在下一个世纪提到议事日程与同仁商榷。     

土壤中镉、铜伤害对水稻光谱特性的影响

本文讨论了水稻受重金属镉和铜污染伤害后的光谱反射特性的变化,为遥感监测污染提供基本依据。使用高分辨率光谱辐射计在自然状态下实地测量了受污染的水稻光谱特性,比采集叶片在室内测量更接近于实际情况,便于结合遥感图像进行定性和定量分析研究。 结果表明,镉和铜拌土生长的水稻在分蘖期受到的影响最明显,无论是在生理上还是在反射光谱方面变化都比较显著。因此,对水稻受重金属污染的遥感监测最佳时间为分蘖期,有效波段为0.54—0.58,0.64—0.69,0.74—0.80微米。综合对水稻光谱的各种分析方法,如波形分析,微分光谱,绿度指数和主成分变换等技术,水稻在分蘖期,对高浓度的监测效果较好,而对低浓度效果不甚明显。     

农田蒸散双层模型及其在干旱遥感监测中的应用

该文建立了在部分植被条件下估算农田蒸散的双层模型，利用此模型和ＮＯＡＡ－ＡＶＨＲＲ数据对黄淮海平原春季旱情进行了评估，并做出了干旱及蒸散分布图。对双层模型和单层模型的估算结果进行了比较，结果表明在部分植被条件下双层模型估算的精度要高。     

城市消防指挥地理信息系统的设计与实现

结合郑州市消防指挥自动化系统的实现,对城市消防指挥地理信息系统的设计与实现进行归纳和总结。     

基于RIA架构的洞庭湖生态事件采集网络GIS设计、实现及应用

洞庭湖生态环境日趋恶化,生态事件频发。基于RIA架构的洞庭湖生态事件采集网络GIS能更好地面向公众进行生态事件预警,快速地登记并发布生态事件,对及时掌握生态事件相关信息及精确预警具有重要意义。系统采用RIA、WebService,SuperMap iServer Java 6R,SuperMap iClient for Flex等技术开发,设计了数据存储、服务器、客户端三层逻辑架构,包括基础地理信息发布与浏览、生态事件信息发布、生态事件采集与管理三个顶层模块。系统在洞庭湖国家级自然保护区实际应用后,取得了较好的应用效果。