共查询到17条相似文献，搜索用时 437 毫秒
1.
简单空间对象经过特定组合可形成复杂空间实体。现有的拓扑关系模型对复杂边界间的复杂交互的表达能力不足,很难精确地对复杂空间面实体间拓扑关系的不同形式进行区分。顾及复杂空间面实体间的交互细节,本文对其拓扑关系进行精细化建模。首先引入线面实体间拓扑关系的元拓扑关系,进而利用元拓扑关系与重叠面积对简单面实体间的边界交集进行精细化描述,对洞边界遍历定义和洞中面与洞关系的定义,实现对复杂空间面实体的拓扑关系进行精确地区分与表达,最后对复杂面实体边界交集的5种基础拓扑关系描述模型进行归纳总结。通过5种基础拓扑关系描述模型的叠加,实现对复杂面实体各子部分之间关系细节的精细化表达。 相似文献
2.
面向带洞面状对象间的拓扑关系描述模型 总被引：1，自引：1，他引：0
为研究带洞面状对象间的拓扑关系,提出了一种25IM(25交集模型)。以点集拓扑理论为基础,对带洞面状区域的内部、边界和外部进行定义。分析了9IM(9交集模型)在表达带洞面状对象间拓扑关系方面存在的问题,将带洞面状对象分为内部、外边界、内边界、外边界外部、内边界外部共5部分,提出了一种5×5的矩阵模型,即25IM。基于点集拓扑理论,定义了8条规则来排除不符合逻辑的拓扑关系。基于25IM,对8种基本拓扑关系:相离、相接、重叠、覆盖、包含、相等、被覆盖和被包含,进行细分描述。结果表明,本文提出的25IM能够更为详细地表达带洞面状对象间的拓扑关系。 相似文献
3.
目前研究已提出了多种带洞面域拓扑关系的描述模型,建立不同模型之间的联系可发挥这些模型在拓扑关系推导和分析中的优势。本文对比分析了基于点集拓扑和对象分解两种方法的6种拓扑关系描述模型,通过定义两个25交关系矩阵操作算子,建立整体面域与分解区域间的拓扑关系计算方法,实现了拓扑关系描述模型之间的转换。理论证明,表明关系矩阵表和扩展9交集模型,以及4元组模型与25交模型在表达拓扑关系的能力方面是一致的且可以相互转换,关系矩阵表可转换为25交模型和9交模型。实例分析说明本文方法可以利用25交模型的“桥梁”作用实现多种模型之间的转换,描述具有特定结构带洞面域间的拓扑关系。 相似文献
4.
5.
带空洞面对象间拓扑关系形式化描述 总被引：1，自引：0，他引：1
利用Egenhofer等提出的含空洞的两面对象间空间拓扑关系描述框架,在四交差模型的基础上,提出了一种能描述带空洞复杂面对象间的空间拓扑关系的扩展模型——4-4ID模型,并用该模型详细推导了简单面对象和仅带一个空洞面对象间以及两个仅带一个空洞面对象间有意义的拓扑关系。 相似文献
6.
不确定线-面拓扑关系的描述与判别 总被引：1，自引：0，他引：1
不确定线状目标和面状目标之间拓扑关系的描述是空间信息处理过程中经常面对的问题。在对不确定线状目标和面状目标进行描述的基础上,对不确定线状目标与面状目标各组成部分之间的相交程度进行了定量表达,通过计算这些度量组成的空间向量与9-交集模型确定的空间关系向量之间的相关度,提出了一种不确定线状目标和面状目标之间拓扑关系的描述模型,通过定量的方法来对其空间拓扑关系进行判别。 相似文献
7.
针对二维空间有向线、有向带洞面目标的特点，考虑有向线的起终点与有向带洞面目标的正反面，建立了有向线与有向带洞面目标之间拓扑关系与方向关系集成表达的DL-DRH模型(有向线-有向带洞面目标拓扑关系模型)。首先基于点集拓扑理论，构建了DL-RH模型(有向线-带洞面目标拓扑关系模型),得到143种DL-RH拓扑关系。进而根据交集位置特点，对DR-RH拓扑关系进行分类，给出了3类空间语义更丰富的DL-DRH拓扑关系。接着分析了DL-H模型(有向线-简单面目标拓扑关系模型)、DL-RH模型和DL-DRH模型之间的转换规则。然后利用7种拓扑关系规则证明DL-DRH拓扑关系的完备性。最后通过案例分析表明DL-DRH模型能准确、直观地表达有向线与有向带洞面目标之间的拓扑关系。 相似文献
8.
空间拓扑关系描述是空间关系的主要内容,是与人类的认知概念一致的,在空间数据查询与挖掘等方面有重要应用。很多学者研究了不带空洞的面对象间的拓扑关系,但对于带空洞的面对象间的拓扑关系研究甚少。首先回顾了现有模型,并指出了各模型的优缺点,然后根据简单面对象的8种基本空间拓扑关系,对带多个空洞的面对象的拓扑关系进行了层次组合分析,提出了一种能描述带多个空洞的复杂面对象间的拓扑关系的层次组合模型。该模型能描述带多个空洞的复杂面对象间的所有拓扑关系,而且不因面对象中空洞的编号顺序不同导致模型所描述的结果不同,同时也弥补了4-4ID模型只能描述带一个空洞的面对象的不足。 相似文献
9.
统一表达空间关系中的拓扑关系和方向关系是非常有必要的。本文首先对已有的方向模型进行分析和比较,提出了一种方向模型,即采用锥形的方法将空间参照对象的内部、边界和外部分别划分出9个方向区域,描述空间目标对象与这些方向区域的交集的情况,然后结合这种方向模型和九交模型,进而提出了一种能统一表达拓扑关系和方向关系的形式化模型。 相似文献
10.
空间拓扑关系描述是空间关系的主要内容,是与人类的认知概念一致的,在空间数据查询与挖掘等方面有重要应用.很多学者研究了不带空洞的面对象间的拓扑关系,但对于带空洞的面对象间的拓扑关系研究甚少.首先回顾了现有模型,并指出了各模型的优缺点,然后根据简单面对象的8种基本空间拓扑关系,对带多个空洞的面对象的拓扑关系进行了层次组合分... 相似文献
11.
Classification of topological relations between spatial objects in two‐dimensional space within the dimensionally extended 9‐intersection model 
下载免费PDF全文
下载免费PDF全文 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
12.
Representing the topological relations between directed spatial objects has gained increasing attention in recent years. Although topological relations between directed lines and other types of spatial objects, such as regions and bodies, have been widely investigated, few studies have focused on the topological relations between directed lines and directed regions. This research focuses on the representation and application of directed line–directed region (DLDR) topological relations, and may contribute to spatial querying and spatial analyses related to directed spatial objects or time‐varying objects. Compared with other topological relation models, a DLDR model that considers the starting and ending points of the directed line and the front and back faces of directed regions is proposed in this research to describe the topological relations between directed lines and directed regions. DLDR topological relations are presented, the completeness of the 111 DLDR topological relations is proved, and the topological relations based on the 9‐intersection model (9IM), 9+‐intersection model (9+‐IM), and DLDR model are compared. The formalism of the DLDR model and the corresponding geometric interpretations of the 111 DLDR topological relations are presented, seven propositions are stated to prove the completeness of the 111 DLDR topological relations, and the case study shows that more detailed topological relation information can be obtained based on the DLDR model. 相似文献
13.
14.
Kimfung Liu Wenzhong Shi 《International Journal of Applied Earth Observation and Geoinformation》2009
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
15.
16.
CHEN Jun LI Chengming LI Zhilin Gold C M 《地球空间信息科学学报》2000,3(1):1-10
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
17.
Zhaoyuan Yu Wen Luo Linwang Yuan Yong Hu A‐xing Zhu Guonian Lü 《Transactions in GIS》2016,20(2):259-279
Classical topological relation expressions and computations are primarily based on abstract algebra. In this article, the representation and computation of geometry‐oriented topological relations (GOTR) are developed. GOTR is the integration of geometry and topology. The geometries are represented by blades, which contain both algebraic expressions and construction structures of the geometries in the conformal geometric algebra space. With the meet, inner, and outer products, two topology operators, the MeetOp and BoundOp operators, are developed to reveal the disjoint/intersection and inside/on‐surface/outside relations, respectively. A theoretical framework is then formulated to compute the topological relations between any pair of elementary geometries using the two operators. A multidimensional, unified and geometry‐oriented algorithm is developed to compute topological relations between geometries. With this framework, the internal results of the topological relations computation are geometries. The topological relations can be illustrated with clear geometric meanings; at the same time, it can also be modified and updated parametrically. Case studies evaluating the topological relations between 3D objects are performed. The result suggests that our model can express and compute the topological relations between objects in a symbolic and geometry‐oriented way. The method can also support topological relation series computation between objects with location or shape changes. 相似文献