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1.
1 IntroductionSpatialrelationsqueryisoneofbasicfunctionsinGIS’sapplication .MostofcurrentcommercialGISscanonlyqueryspatialrelationsforspatialob jectswithoutanyerrororuncertainty ,forexample ,tousecomputation geometryalgorithmtodeter minewhetherapointfalls…  相似文献   

2.
This paper presents a study on the modeling of fuzzy topological relations between uncertain objects in Geographic Information Systems (GIS). Based on the recently developed concept of computational fuzzy topological space, topological relations between simple fuzzy spatial objects are modeled. The fuzzy spatial objects here cover simple fuzzy region, simple fuzzy line segment and fuzzy point. To compute the topological relations between the simple spatial objects, intersection concepts and integration methods are applied and a computational 9-intersection model are proposed and developed. There are different types of intersection, and we have proposed different integration methods for computation in different cases. For example, surface integration method is applied to the case of the fuzzy region-to-fuzzy region relation, while the line integration method is used in the case of fuzzy line segment-to-fuzzy line segment relation. Moreover, this study has discovered that there are (a) sixteen topological relations between simple fuzzy region to line segment; (b) forty-six topological relations between simple fuzzy line segments; (c) three topological relations between simple fuzzy region to fuzzy point; and (d) three topological relations between simple fuzzy line segment to fuzzy point.  相似文献   

3.
Quantitative relations between spatial similarity degree and map scale change in multi-scale map spaces play important roles in map generalization and construction of spatial data infrastructure. Nevertheless, no achievements have been made regarding this issue. To fill the gap, this paper firstly proposes a model for calculating spatial similarity degrees between an individual linear object at one scale and its generalized counterpart at the other scale. Then psychological experiments are designed to validate the new model, taking four different individual linear objects at five different scales as test samples. The experiments have shown that spatial similarity degrees calculated by the new model can be accepted by a majority of the subjects. After this, it constructs a formula that can calculate spatial similarity degree using map scale change (and vice versa) for individual linear objects in multi-scale map spaces by the curve fitting method using the point data from the psychological experiments. Both the formula and the model can calculate quantitative relations between spatial similarity degree and map scale change of individual linear objects in multi-scale map spaces, which facilitates automation of map generalization algorithms for linear features.  相似文献   

4.
As an important topological relation model, the dimensionally extended 9‐intersection model (DE‐9IM) has been widely used as a basis for standards of queries in spatial databases. However, the negative conditions for the specification of the topological relations within the DE‐9IM have not been studied. The specification of the topological relations is closely related to the definition of the spatial objects and the topological relation models. The interior, boundary, and exterior of the spatial objects, including the point, line, and region, are defined. Within the framework of the DE‐9IM, 43 negative conditions are proposed to eliminate impossible topological relations. Configurations of region/region, region/line, line/line, region/point, line/point, and point/point relations are drawn. The mutual exclusion of the negative conditions is discussed, and the topological relations within the framework of 9IM and DE‐9IM are compared. The results show that: (1) impossible topological relations between spatial objects can be eliminated by the application of 43 negative conditions; and (2) 12 relations between two regions, 31 relations between a region and a line, 47 relations between two lines, three relations between a region and a point, three relations between a line and a point, and two relations between two points can be distinguished by the DE‐9IM.  相似文献   

5.
Object based image analysis (OBIA) is an approach increasingly used in classifying high spatial resolution remote sensing images. Object based image classifiers first segment an image into objects (or image segments), and then classify these objects based on their attributes and spatial relations. Numerous algorithms exist for the first step of the OBIA process, i.e. image segmentation. However, less research has been conducted on the object classification part of OBIA, in particular the spatial relations between objects that are commonly used to construct rules for classifying image objects and refining classification results. In this paper, we establish a context where objects are areal (not points or lines) and non-overlapping (we call this “single-valued” space), and propose a framework of binary spatial relations between segmented objects to aid in object classification. In this framework, scale-dependent “line-like objects” and “point-like objects” are identified from areal objects based on their shapes. Generally, disjoint and meet are the only two possible topological relations between two non-overlapping areal objects. However, a number of quasi- topological relations can be defined when the shapes of the objects involved are considered. Some of these relations are fuzzy and thus quantitatively defined. In addition, we define the concepts of line-like objects (e.g. roads) and point-like objects (e.g. wells), and develop the relations between two line-like objects or two point-like objects. For completeness, cardinal direction relations and distance relations are also introduced in the proposed context. Finally, we implement the framework to extract roads and moving vehicles from an aerial photo. The promising results suggest that our methods can be a valuable tool in defining rules for object based image analysis.  相似文献   

6.
针对传统9交模型对移动目标空间拓扑关系表达及量化描述的不足,基于格网化思想,提出了度量参数量化描述的方法。首先对移动目标和参考目标进行格网化,划分为固定大小的格网阵列;然后利用9交模型确定空间目标间拓扑关系的形式化描述;最后引入内部分量、边界分量、外部分量3种度量参数对移动目标空间拓扑关系进行度量化描述。试验证明,该方法计算简单、直观,能更加有效地度量移动目标间的拓扑关系。  相似文献   

7.
多尺度表达中空间拓扑关系等价性评价模型   总被引:4,自引:2,他引:2  
本文主要讨论不同尺度下地理目标之间拓扑关系的等价性问题。根据人类认知习惯,得出从大比例尺地理空间中拓扑关系抽象为小比例尺空间中拓扑关系应当遵循的基本规则,并利用模糊函数将这些规则定量化;在此基础上,得到评价地理空间场景中多个空间目标之间拓扑关系在不同尺度下是否等价的综合评价模型。该模型可以用于检验和维护空间数据质量、为地图自动综合提供空间关系处理和评价方法的参考。  相似文献   

8.
矢量GIS空间方向关系的演算模型   总被引:5,自引:0,他引:5  
邓敏  刘文宝  李俊杰  孙电 《遥感学报》2006,10(6):821-828
空间方向关系是描述空间目标间位置分布的一类基本空间约束,在GIS中是由形式化模型描述的。但现有模型由于简化假设过多,其描述分辨率较低。以点/点空间方向关系的计算量为基础,在综合考虑空间目标的几何构成和分布关系后,提出了定量化演算空间方向关系的一种新模型。利用该模型的结果,根据定量表达与定性描述之间的转换函数,可以得到相应的定性描述结果。理论分析和算例表明,新模型对目标间距离和目标本身的形状等影响方向关系的参数更为敏感,因而比现有模型有更高的描述分辨率。  相似文献   

9.
Fuzziness is an internal property of spatial objects.How to model fuzziness of a spatial object is a main task of next generation GIS.This paper proposes basic fuzzy spatial object types based on fuzzy topology.These object types are the natural extension of current nonfuzzy spatial object types.A fuzzy cell complex structure is defined for modeling fuzzy regions,lines and points.Furthermore,fuzzy topological relations between these fuzzy spatial objects are formalized based on the 9intersection approach.This model can be implemented for GIS applications due to its scientific theory basis.  相似文献   

10.
电子海图高速显示的数据结构   总被引:8,自引:0,他引:8  
本文对普通数据和复杂空间对象的一体化及高效的空间索引组织结构作了较深入的描述。一方面,通过广义MBR信息和四分形编码建立了空间索引,使得快速确定空间对象间的二元几何关系成为可能,实现了快速的空间检索和图形显示;另一方面,通过R树建立航海资料的二维索引结构,以及采用“上下文相关”的文本格式,体现航海资料自然的层次结构,从而提高搜索航海资料的效率。  相似文献   

11.
3DGIS中空间对象的存储与快速查询   总被引:2,自引:0,他引:2  
空间对象的存储和快速查询是三维地理信息系统研究的基本问题。本文采用面向对象的方法将三维空间对象抽象为点、线、面、体四类,点对象用一个坐标点(x,y,z)来表示,线对象用一组首尾相接的线段表示,面对象与体对象用三角网表示,然后采用SQL Server 2005来组织存储数据。为了提高空间数据库的检索速度,作者编程实现了线性八叉树空间索引,应用程序采用目前比较流行的ADO.net技术来访问数据库。  相似文献   

12.
邓敏  刘启亮  徐锐  徐枫 《测绘科学》2010,35(3):58-61
空间方位是一类重要的空间关系,它不同于目前研究较多的方向关系。空间方位关系描述的是三个目标间的空间关系,它的理论基础是基于射影几何中的三点共线不变性。本文首先阐述了空间方位的基本定义、表达基础以及它与拓扑关系、方向关系的区别。然后,重点回顾了6种较为有代表性的方位关系描述模型,指出了这些模型的适用性,并对这些模型进行了比较分析。最后,简要地分析了空间方位关系在GIS中的应用前景以及有待进一步研究的若干问题。  相似文献   

13.
张辉  唐新明  杨平  吴侃 《测绘科学》2008,33(2):75-77
本文将从地理认知的角度上分析并选择一个适合于在GIS中应用9-Intersection模型的模糊空间对象的边界定义,并构建一个能够采用9-Intersection模型精确判断模糊空间对象之间拓扑关系的模糊拓扑空间(CITfts),并进行相应的证明,最后建立简单模糊区域,采用empty/no-empty算子给出模糊空间对象之间的拓扑关系的表达形式。  相似文献   

14.
空间方向关系的分级细节描述(英文)   总被引:1,自引:0,他引:1  
  相似文献   

15.
1 Overview of the original 9-inter-section modelThe spatial re1ations betWeen spatial entities areknown as important as the entities themselves. It istherefore very essential to know what poSSibIe spa-tial relationships are and how they can be deter-mined. The 9-intersection model is the most POpu-lar mathematical framework fOr formalizing spatialrelations and have been widely used in spatial querylanguages(EngenhOfer, l991; Clementinietal., l994;Mark et al., l995). Using this medel the t…  相似文献   

16.
在对拓拟邻接凸多边形方向关系计算特殊性分析的基础上,提出了一个邻接凸多边形方向关系计算法和二维空间方向关系推理方法。与Voronoi图所表达的邻近拓扑关系相结合,该算法可以用于计算离散二维空间目标之间的方向关系。  相似文献   

17.
空间物体描述是GIS的基本任务之一,而空间物体的分类是空间物体描述的基础。理想的空间物体分类模型不但应具有完备描述(构造)各种空间物体的能力,而且应能够揭示基本的空间关系,有助于空间分析的规范化系统化。本文在分析空间概念模型和现有的几种空间物体分类模型的基础上,提出了空间物体分类的基本原则,给出了新的空间物体分类模型:简单点、复合点、简单线、有向简单线、复合线、有向复合线、多边形,并说明了以这类基本物体类型构造复杂物体的一般性方法。  相似文献   

18.
不确定性线状目标之间拓扑关系的描述与判别   总被引:1,自引:0,他引:1  
总结了常见的不确定性线状目标描述模型以及确定性线状目标之间拓扑关系的描述模型,并在此基础上提出了一种定量化分析方法,对不确定性线状目标之间的拓扑关系进行了描述和判别。  相似文献   

19.
This paper focuses on the methods and process of spatial aggregation based on semantic and geometric characteristics of spatial objects and relations among the objects with the help of spatial data structure (Formal Data Structure),the Local Constrained Delaunay Triangulations and semantic hierarchy.The adjacent relation among connected objects and unconnected objects has been studied through constrained triangle as elementary processing unit in aggregation operation.The hierarchical semantic analytical matrix is given for analyzing the similarity between objects types and between objects.Several different cases of aggregation have been presented in this paper.  相似文献   

20.
This paper focuses on the methods and process of spatial aggregation based on semantic and geometric characteristics of spatial objects and relations among the objects with the help of spatial data structure (Formal Data Structure), the Local Constrained Delaunay Triangulations and semantic hierarchy. The adjacent relation among connected objects and unconnected objects has been studied through constrained triangle as elementary processing unit in aggregation operation. The hierarchical semantic analytical matrix is given for analyzing the similarity between objects types and between objects. Several different cases of aggregation have been presented in this paper.  相似文献   

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