The hypermedia data model based on the infinity image

This paper presents the hypermedia data model based on the infinity RS image information system we have developed.The hypermedia data model consists of different semantic units called nodes,and the associations between nodes are called links.This paper proposes three kinds of nodes (interior node,physical node and complex node) and two kinds of links (plane network structure link,hyper-cube network structure links).The hypermedia information system,based on the model and the basic data layer (the infiniy RS image),represents a digital globe.An approach to the "Getting Lost in the Hyper-space" problem is presented.The approach using the hypermedia data model is an efficient way of handling a large number of RS images in various geographical information systems.     

基于电子地图的超媒体数据模型研究

从电子地图的超媒体数据模型出发，研究基于电子地图的多媒体信息之间关系的非线性存储、组织、管理和浏览信息的表达技术和数据的组织形式。在分析电子地图和超媒体技术特点的基础上，以实例来阐述这种模型建立的基本思路。试验表明，基于电子地图的超媒体数据模型能够很好地组织和表达多媒体数据，并取得了较好的效果。     

Database structure for the integration of RS with GIS based on semantic network

The integration of remote sensing (RS) with geographical information system (GIS) is a hotspot in geographical information science. A good database structure is important to the integration of RS with GIS, which should be beneficial to the complete integration of RS with GIS, able to deal with the disagreement between the resolution of remote sensing images and the precision of GIS data, and also helpful to the knowledge discovery and exploitation. In this paper, the database structure storing the spatial data based on semantic network is presented. This database structure has several advantages. Firstly, the spatial data is stored as raster data with space index, so the image processing can be done directly on the GIS data that is stored hierarchically according to the distinguishing precision. Secondly, the simple objects are aggregated into complex ones. Thirdly, because we use the indexing tree to depict the relationship of aggregation and the indexing pictures expressed by 2-D strings to describe the topology structure of the objects, the concepts of surrounding and region are expressed clearly and the semantic content of the landscape can be illustrated well. All the factors that affect the recognition of the objects are depicted in the factor space, which provides a uniform mathematical frame for the fusion of the semantic and non-semantic information. Lastly, the object node, knowledge node and the indexing node are integrated into one node. This feature enhances the ability of system in knowledge expressing, intelligent inference and association. The application shows that this database structure can benefit the interpretation of remote sensing image with the information of GIS.     

DATABASE STRUCTURE FOR THE INTEGRATION OF RS WITH GIS BASED ON SEMANTIC NETWORK

1　ＴｈｅｃｏｎｃｅｐｔｏｆｔｈｅｉｎｔｅｇｒａｔｉｏｎｏｆＲＳｗｉｔｈＧＩＳＴｈｅｉｎｔｅｇｒａｔｉｏｎｏｆｒｅｍｏｔｅｓｅｎｓｉｎｇ (ＲＳ)ｗｉｔｈｇｅｏ ｇｒａｐｈｉｃａｌｉｎｆｏｒｍａｔｉｏｎｓｙｓｔｅｍ (ＧＩＳ)ｉｓａｈｏｔｓｐｏｔｉｎｇｅｏｇｒａｐｈｉｃａｌｉｎｆｏｒｍａｔｉｏｎｓｃｉｅｎｃｅ .ＴｈｅｃｏｎｃｅｐｔｏｆｔｈｅｉｎｔｅｇｒａｔｉｏｎｏｆＲＳｗｉｔｈＧＩＳ ,ｉｎｔｈｅｖｉｅｗｏｆＰｒｏｆ.ＬｉＤｅｒｅｎ ,ｉｓｔｈａｔＲＳｉｓｔｈｅｗａｙｔｏｏｂｔａｉｎｔｈｅｉｎｆｏｒｍａ ｔｉ…     

RS与GIS一体化数据结构的研究

详细阐述了RS与GIS一体化的概念 ,通过对RS与GIS一体化方面的研究与分析 ,进一步明确RS与GIS一体化对空间数据存储结构的要求 ,着重探讨了几种典型的用于RS与GIS一体化的数据结构 ,针对现有数据结构存在的问题与不足 ,提出了一种具有普遍适用价值的基于语义网络的空间数据存储结构 ,并给出一个应用实例     

移动自组网中基于Mobile Agent的分布式密钥管理

提出了移动自组网（MANET）中一种基于移动Agent的分布式密钥管理方法。该方法使用很少的Agent获得较多的全局信息,并快速交换密钥信息,可以解决分布式认证算法中网络负载大、服务时间长、申请证书成功率低等问题,减少了系统的开销,具有很高的效率和鲁棒性。     

地理信息系统集成平台框架结构研究

提出了基于客户／服务器结构的地理信息系统集成平台总体结构,探讨了基于元数据的地理信息系统数据集成平台以建立物理上分布而逻辑上集中的分布式地理信息系统数据库,提出了应用符合３ＮＦ范式的关系数据库进行模型管理的模式,在此基础上探讨了地理信息系统可视化建模工具。     

人工神经网络遥感影像分类模型及其与知识集成方法研究

以多层感知器（MLP）为例，探讨了地学知识与ANN融合进行遥感影像分类的方法。首先对MLP网络结构、学习算法及其改进进行分析；然后总结了MLP进行遥感影像分类的一般方法和存在的缺陷；发展了基于知识的MLP神经网络遥感影像分类模型，并具体利用基于规则的MLP方法进行了遥感土地覆盖分类的实验，把获得的结果与传统统计方法与一般ANN方法进行了综合比较，获得了有意义的结果。     

时空约束下任务驱动的遥感影像发现案例推理方法

遥感应用任务与遥感影像的关联关系在时空约束下非常复杂,难以抽象且不易精确建模。通过任务发现遥感影像的方法直接在遥感应用任务和遥感影像之间建立关联,不仅关联关系维护困难,而且忽略了时空因素的影响,导致查询准确率不高。利用基于案例的推理技术,将难以抽象成规则和精确建模的任务与遥感影像在时空约束下的关联隐含在案例中,设计相应的类比推理模型,实现通过任务智能检索相关遥感影像。原型系统实验表明了该方法的可行性,并提升了遥感影像数据的服务效果。     

多媒体电子地图集中超媒体结构的语言学机制

通过对现有多媒体电子地图多种信息主体及其关系的分析,阐述了多媒体电子地图集中超媒体结构的语言学机制,并就该理论的实际应用给出了一个实例。     

地下管网时空信息集成与管理技术创新

提出了建立管网信息普查及信息录入系统,以及完善管网信息关系数据库、综合管网图制作、管网信息空间数据库、三维管网部件模型库等各项工作,通过调用不同数据库的空间信息与属性信息,实现了三维管网模型的快速构建。采用MD5建立了管网模型与属性信息自动关联技术,叠加了原有的地表建（构）筑物模型,引入了统一的时空基准,开发了地上下建（构）筑物管理平台,具有三维模式下现有二维地图无法实现的空间分析等功能,实现了各类三维数据的综合可视化和融合分析,可为城市地下管网管理提供更直观的辅助决策支持。     

基于Intranet机制的城市地理信息系统设计研究

将Ｉｎｔｒａｎｅｔ机制引入城市地理信息系统（ＵＧＩＳ）设计，给出了以目标为中心的新型地理信息系统平台结构体系。文章对新型地理信息系统的超媒体数据结构以及系统网络设计作了阐述，并指出了系统实施中需解决的关键问题。最后指出，新型ＧＩＳ系统改变了传统ＧＩＳ的运转方式、信息交流方式，强调信息共享与信息传播，同时注重信息的可靠性和安全性，从而可以提供更加可靠和广泛的地理信息服务。     

The Organization of Multimedia Information in electronic Map

On the basis of an electronic map-based hypermedia data model (EMBHDM),this paper makes a study on the technologies of nonlinear storage,organization,management and browsing of information,management and browing of information as well as organization of data on the basis of the relationship between multimedia information of electronic maps. This paper first analyzes some features of electronic maps and hypermedia technologty,and then illustrates the creation of EMBHDM with some examples.The tests show that this model can efficiently organize and express multimedia data.     

KING GEORGE ISLAND SPATIAL DATA MODEL

1　ＩｎｔｒｏｄｕｃｔｉｏｎＳｐａｔｉａｌｄｉｓｔｒｉｂｕｔｉｏｎｉｓｔｈｅｎａｔｕｒａｌｆｅａｔｕｒｅｏｆｇｅｏ ｇｒａｐｈｉｃｉｎｆｏｒｍａｔｉｏｎ .Ｉｎｔｈｅｐａｓｔｙｅａｒｓ,ｄｕｅｔｏｌｉｍｉ ｔａｔｉｏｎｏｆｔｅｃｈｎｏｌｏｇｙ ,ｃｏｍｍｕｎｉｃａｔｉｏｎａｎｄｈａｒｄｗａｒｅ ,ｓｐａｔｉａｌｄａｔａｃａｐｔｕｒｅｄｆｒｏｍｄｉｆｆｅｒｅｎｔｒｅｇｉｏｎｈａｓｔｏｂｅｓａｖｅｄ ,ｍａｎａｇｅｄａｎｄｐｒｏｃｅｓｓｅｄｉｎｔｈｅｃｅｎｔｒａｌｐｌａｃｅ .Ａｓａｒｅｓｕｌｔ ,ｓｐａｔｉａｌｄ…     

基于中间件的遥感影像数据共享技术研究

针对遥感影像共享服务的应用需求,提出基于中间件技术的影像数据共享方法;设计基于中间件技术的影像数据服务模式。通过实验实现支持多用户并发访问的服务原型,验证基于中间件技术的影像数据服务方法的可行性并给出进一步研究的方向。     

A Network Model for Dispersion of Communicable Diseases

The spread of communicable diseases through a population is an intrinsic spatial and temporal process. This paper presents an individual‐based analytical framework for modeling the spatial and temporal heterogeneity in the disease transmission. The framework specifies a network model structure and six associated parameters. These parameters describe the properties of nodes, the properties of links, and the topology of the network. Through this model structure and associated parameters, this framework allows the representation of discrete individuals, individualized interactions, and interaction patterns in a network of human contact. The explicit representation of the spatial distribution and mobility of individuals in particular facilitates the modeling of spatial heterogeneity in the disease transmission.     

Unsupervised segmentation of high-resolution remote sensing images based on classical models of the visual receptive field

Here, we describe an unsupervised segmentation method incorporating log-Gabor (LG) filters and a Markov random field (MRF) model for high-resolution (HR) remote sensing (RS) images, based on classical models of the visual receptive field. LG filters were utilised to model the receptive fields of the simple cells in the primary visual cortex and extract detailed features from HR–RS images followed by construction of image pyramid through wavelet decomposition to simulate the hierarchical structure of the visual sensing system. Finally, based on the original HR–RS images, their detailed features and the image pyramid, the MRF image segmentation model was applied to obtain the final segmentation result. Real HR–RS images were used as experimental data to validate the proposed method, both qualitatively (visually) and numerically (with the overall accuracy and Kappa index).The experimental results indicate that the proposed method is effective, feasible and robust to noise.     

GIS网络的TDN结构表示

分析了GIS网络的基本要素和网络关系，提出了完备表达网络的TDN数据结构，从时间和空间效率上进行了推演，并以试验验证了该结构的实用性。     

A spatially weighted degree model for network vulnerability analysis

Using degree distribution to assess network vulnerability represents a promising direction of network analysis.However,the traditional degree distribution model is inadequate for analyzing the vulnerability of spatial networks because it does not take into consideration the geographical aspects of spatial networks.This paper proposes a spatially weighted degree model in which both the functional class and the length of network links are considered to be important factors for determining the node degrees of spatial networks.A weight coefficient is used in this new model to account for the contribution of each factor to the node degree.The proposed model is compared with the traditional degree model and an accessibility-based vulnerability model in the vulnerabil-ity analysis of a highway network.Experiment results indicate that,although node degrees of spatial networks derived from the tra-ditional degree model follow a random distribution,node degrees determined by the spatially weighted model exhibit a scale-free distribution,which is a common characteristic of robust networks.Compared to the accessibility-based model,the proposed model has similar performance in identifying critical nodes but with higher computational efficiency and better ability to reveal the overall vulnerability of a spatial network.