基于Oracle的影像库研究与开发
发布时间:2018-08-17 14:54
【摘要】:遥感技术不断的发展,影像获取的能力强大,从而积累的影像数据量越来越大,这就要求我们更加有效的存储管理大量影像数据。影像数据资料的应用越来越广泛,为应急救灾、国情监测、城市建设规划、交通等领域提供了重要的数据,发挥着重要的作用,这使得加强数据的维护管理显得尤为必要。 本文从数据库的角度出发设计研究能够实现遥感影像数据的有效存储与管理的技术,确定了以面向对象-关系的Oracle数据库为平台,分析影像库构建的主要技术,并付诸于实践进行开发的技术验证。主要内容有: 首先结合遥感影像数据的组织管理模式,对国内外影像数据库的研究现状与特点进行了阐述与分析。 阐述分析了Oracle数据库的开发平台内部数据组织结构,以及技术优势。对于遥感影像数据的开发,Oracle有着独特的内部组件:用于空间数据组织管理的Spatial,以及存储影像像素数据与属性元数据的GeoRaster对象类型。 可以进行数据库开发的接口有很多种,选择合适的接口对于提高数据库系统的效率很重要。因此,文章对主要的接口进行了阐述与对比分析,并且提出利用OCI接口完成与Oracle影像库的数据交互工作。 对考虑影像数据量不断增多的情况,对构建金字塔的影像组织技术进行了深入的分析,对于影像数据的在应用层面的调度显示技术地实现进行了设计,影像数据以大小统一的规格进行不同分辨率的存储,物理空间存量增大,实现影像数据的高效调度显示。而且数据库具有很好的扩展性。同时提出了在调度的过程中的首先的工作是影像数据块的快速定位与计算,,借助Oracle内部成熟的索引机制,在影像块表上建立索引,提高检索效率的方法。 最后,在上述研究的基础上,对遥感影像数据进行入库、构建金字塔、浏览显示等功能,对本文的设计的方案可行性进行了实践验证,基本实现了数据的有效操作与管理。对遥感影像数据建库管理提高了性能与数据安全。
[Abstract]:With the continuous development of remote sensing technology, the ability of image acquisition is strong, so the amount of image data accumulated is more and more large, which requires us to more effectively store and manage a large number of image data. The application of image data is more and more extensive, which provides important data and plays an important role in the fields of emergency relief, national situation monitoring, urban construction planning, transportation and so on, which makes it particularly necessary to strengthen the maintenance and management of data. From the point of view of database, this paper designs and researches the technology that can realize the effective storage and management of remote sensing image data, and determines the main technology of image database construction based on Object-Oriented Oracle database. And put into practice to develop the technical verification. The main contents are as follows: firstly, combined with the organization and management mode of remote sensing image data, the research status and characteristics of image database at home and abroad are expounded and analyzed. This paper analyzes the data organization structure and technical advantages of Oracle database development platform. Oracle has a unique internal component for the development of remote sensing image data: spatial data organization and management, and GeoRaster object types that store image pixel data and attribute metadata. There are many kinds of interfaces that can be used for database development. It is very important to select suitable interfaces to improve the efficiency of database system. Therefore, this paper describes and compares the main interfaces, and proposes to use the OCI interface to complete the data interaction with the Oracle image library. Considering the increasing amount of image data, the image organization technology of building pyramid is deeply analyzed, and the scheduling and displaying technology of image data at application level is designed. The storage of image data at different resolution with uniform size can increase the amount of physical space and realize the efficient scheduling and display of image data. And the database has very good extensibility. At the same time, it is proposed that the first task in the process of scheduling is to locate and calculate the image data block quickly. With the help of the mature index mechanism of Oracle, the method of building index on the image block table is proposed to improve the retrieval efficiency. Finally, on the basis of the above research, we put the remote sensing image data into the database, construct the pyramid, browse the display and other functions, and verify the feasibility of the design scheme of this paper, and basically realize the effective operation and management of the data. The management of remote sensing image data base has improved the performance and data security.
【学位授予单位】:北京建筑大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:P208
[Abstract]:With the continuous development of remote sensing technology, the ability of image acquisition is strong, so the amount of image data accumulated is more and more large, which requires us to more effectively store and manage a large number of image data. The application of image data is more and more extensive, which provides important data and plays an important role in the fields of emergency relief, national situation monitoring, urban construction planning, transportation and so on, which makes it particularly necessary to strengthen the maintenance and management of data. From the point of view of database, this paper designs and researches the technology that can realize the effective storage and management of remote sensing image data, and determines the main technology of image database construction based on Object-Oriented Oracle database. And put into practice to develop the technical verification. The main contents are as follows: firstly, combined with the organization and management mode of remote sensing image data, the research status and characteristics of image database at home and abroad are expounded and analyzed. This paper analyzes the data organization structure and technical advantages of Oracle database development platform. Oracle has a unique internal component for the development of remote sensing image data: spatial data organization and management, and GeoRaster object types that store image pixel data and attribute metadata. There are many kinds of interfaces that can be used for database development. It is very important to select suitable interfaces to improve the efficiency of database system. Therefore, this paper describes and compares the main interfaces, and proposes to use the OCI interface to complete the data interaction with the Oracle image library. Considering the increasing amount of image data, the image organization technology of building pyramid is deeply analyzed, and the scheduling and displaying technology of image data at application level is designed. The storage of image data at different resolution with uniform size can increase the amount of physical space and realize the efficient scheduling and display of image data. And the database has very good extensibility. At the same time, it is proposed that the first task in the process of scheduling is to locate and calculate the image data block quickly. With the help of the mature index mechanism of Oracle, the method of building index on the image block table is proposed to improve the retrieval efficiency. Finally, on the basis of the above research, we put the remote sensing image data into the database, construct the pyramid, browse the display and other functions, and verify the feasibility of the design scheme of this paper, and basically realize the effective operation and management of the data. The management of remote sensing image data base has improved the performance and data security.
【学位授予单位】:北京建筑大学
【学位级别】:硕士
【学位授予年份】:2013
【分类号】:P208
【参考文献】
相关期刊论文 前10条
1 虞欣;张海涛;刘佳;;基于Oracle10g和ArcSDE的正射影像入库基本参数的配置研究[J];北京测绘;2009年03期
2 马照亭,潘懋,胡金星,吴焕萍,王占刚;一种基于数据分块的海量地形快速漫游方法[J];北京大学学报(自然科学版);2004年04期
3 李芳;邬群勇;汪小钦;;基于GeoRaster的多源遥感数据存储研究[J];测绘科学;2009年03期
4 霍亮;刘桂红;;T级影像数据管理平台的设计与实现[J];测绘科学;2010年06期
5
本文编号:2188003
本文链接:https://www.wllwen.com/kejilunwen/dizhicehuilunwen/2188003.html