空间数据更新中居民地变化信息提取与表达研究
发布时间：2018-11-26 07:09
【摘要】：空间数据现势性问题日益突出，已经引起了广大用户和政府部门的高度关注。因此，空间数据更新已经逐渐成为空间数据生产部门的主要任务。为了实现实时快速更新，最大限度的满足人们对空间数据现势性的需求，增量式空间数据库更新方法已成为当前空间数据更新研究的热点。变化信息提取与表达作为其中的一项关键环节，其效率和自动化程度比较低，还难于满足当前空间数据更新的需求。 鉴于此，针对空间数据更新应用需求和国际学术前沿理论和技术问题，在总结前人研究工作的基础上，本文探讨了空间数据更新中居民地变化信息提取与表达理论与方法。概括起来，，本文主要研究内容及创新点体现在以下5个方面： 1.图形数据差分类与判断研究。为了满足空间数据更新对“差”的需求，提出了图形数据差的概念。在图形数据差基本概念的基础上将图形数据差划分为8种基本图形数据差类型，提出了基于实体匹配、实体图形维数以及图形求交的图形数据差类型三级判断方法，并给出了图形数据差的形式化表达模型； 2.居民地匹配算法研究。在总结分析了当前居民地要素同名实体匹配方法的基础上，完成对现有匹配方法的改进。并结合力与面状居民地之间的关系，提出了基于力图投影的面状居民地匹配算法； 3.空间变化分类与判断研究。分析发现当前空间变化分类方法只是针对单一地理实体，不足以描述多地理实体的空间变化，且现实中有些地理实体的变化是由多个空间变化类型共同作用得到的结果。因此，基于影响居民地实体个数以及变化的复杂程度，将空间变化划分为15种空间变化类型，并设计了空间变化类型的判断方法； 4.变化信息表达模型研究。在现有研究的基础上提出了基于空间变化、动态更新操作和图形数据差的居民地要素变化信息表达模型，通过建立三者之间的映射关系，建立了变化信息类型判断规则库，实现了变化信息的分类，并给出了各种变化信息类型的形式化表达； 5.实现了居民地变化信息提取与表达原型实验系统。以同一尺度、不同时期的居民地要素数据作为实验对象，初步实现了对居民地变化信息提取与表达，验证所提出理论与方法的可行性。
[Abstract]:The problem of spatial data is becoming more and more prominent, which has attracted the attention of users and government departments. Therefore, spatial data updating has gradually become the main task of spatial data production department. In order to realize real-time and rapid updating and to meet the needs of spatial data to the greatest extent, incremental spatial database updating method has become a hot spot in the research of spatial data updating. As one of the key links, the extraction and representation of change information is of low efficiency and automation, and it is difficult to meet the needs of the current spatial data updating. In view of this, in view of the application demand of spatial data updating and the international academic frontier theory and technical problems, this paper discusses the theory and method of extracting and expressing the information of residential land change in spatial data updating on the basis of summarizing the previous research work. To sum up, the main contents and innovations of this paper are reflected in the following five aspects: 1. Research on Classification and judgment of graphic data difference. In order to meet the demand of spatial data updating, the concept of graphic data difference is put forward. On the basis of the basic concept of graphic data difference, the graphic data difference is divided into eight basic graphic data difference types, and a three-level judgment method based on entity matching, solid graphic dimension and graph intersection is proposed. A formal representation model of graph data difference is given. 2. Research on resident ground matching algorithm. On the basis of summing up and analyzing the current matching methods of the same name entities of the residential elements, the improvement of the existing matching methods is completed. Based on the relationship between the binding force and the land area, an algorithm based on trying to project is proposed to match the area resident land. 3. Research on Spatial change Classification and judgment. It is found that the current classification method of spatial change is only for a single geographical entity, which is not enough to describe the spatial change of multiple geographic entities, and some of the changes of geographical entities in reality are the result of the joint action of multiple spatial change types. Therefore, based on the number and complexity of the changes, the spatial changes are divided into 15 types of spatial changes, and a method to judge the types of spatial changes is designed. 4. Research on expression Model of change Information. On the basis of the existing research, this paper puts forward the expression model of the change information of residents' land elements based on spatial change, dynamic update operation and poor graphic data. By establishing the mapping relationship among the three, the rule base for judging the type of change information is established. The classification of change information is realized, and the formal representation of all kinds of change information types is given. 5. A prototype experimental system for extracting and expressing the information of residential change is implemented. Taking the data of residents' land elements at the same scale and different periods as the experimental object, the extraction and expression of the change information of the residents' land are realized preliminarily, and the feasibility of the proposed theory and method is verified.
【学位授予单位】：解放军信息工程大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P208
本文编号：2357734
[Abstract]:The problem of spatial data is becoming more and more prominent, which has attracted the attention of users and government departments. Therefore, spatial data updating has gradually become the main task of spatial data production department. In order to realize real-time and rapid updating and to meet the needs of spatial data to the greatest extent, incremental spatial database updating method has become a hot spot in the research of spatial data updating. As one of the key links, the extraction and representation of change information is of low efficiency and automation, and it is difficult to meet the needs of the current spatial data updating. In view of this, in view of the application demand of spatial data updating and the international academic frontier theory and technical problems, this paper discusses the theory and method of extracting and expressing the information of residential land change in spatial data updating on the basis of summarizing the previous research work. To sum up, the main contents and innovations of this paper are reflected in the following five aspects: 1. Research on Classification and judgment of graphic data difference. In order to meet the demand of spatial data updating, the concept of graphic data difference is put forward. On the basis of the basic concept of graphic data difference, the graphic data difference is divided into eight basic graphic data difference types, and a three-level judgment method based on entity matching, solid graphic dimension and graph intersection is proposed. A formal representation model of graph data difference is given. 2. Research on resident ground matching algorithm. On the basis of summing up and analyzing the current matching methods of the same name entities of the residential elements, the improvement of the existing matching methods is completed. Based on the relationship between the binding force and the land area, an algorithm based on trying to project is proposed to match the area resident land. 3. Research on Spatial change Classification and judgment. It is found that the current classification method of spatial change is only for a single geographical entity, which is not enough to describe the spatial change of multiple geographic entities, and some of the changes of geographical entities in reality are the result of the joint action of multiple spatial change types. Therefore, based on the number and complexity of the changes, the spatial changes are divided into 15 types of spatial changes, and a method to judge the types of spatial changes is designed. 4. Research on expression Model of change Information. On the basis of the existing research, this paper puts forward the expression model of the change information of residents' land elements based on spatial change, dynamic update operation and poor graphic data. By establishing the mapping relationship among the three, the rule base for judging the type of change information is established. The classification of change information is realized, and the formal representation of all kinds of change information types is given. 5. A prototype experimental system for extracting and expressing the information of residential change is implemented. Taking the data of residents' land elements at the same scale and different periods as the experimental object, the extraction and expression of the change information of the residents' land are realized preliminarily, and the feasibility of the proposed theory and method is verified.
【学位授予单位】：解放军信息工程大学
【学位级别】：硕士
【学位授予年份】：2013
【分类号】：P208
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