RDBMS和COM的海量遥感影像数据的管理和Web发布

介绍了基于关系型数据库（RDBMS）和微软组件技术（COM）的Web海量影像数据库（IMIDM）的研究背景、系统组织和实现，具体论述了IMIDB的数据库逻辑设计，包括数据库的选择、遥感数据的组织和存储；在此基础上，论述了存储在数据库中的遥感影像的Web发布体系结构，以及组件对象模型技术在该系统中的运用；最后给出了该系统的测试情况，测试结果表明，系统达到了设计目标。

Mass Image Database Management and Web Publishing Based on RDBMS and COM

As a system for collecting, storing, analyzing, processing and managing geography spatial data, GIS's spatial data are mainly composed of vector data and grid data. The existing GIS systems are mostly based on vector data and have a great ability to establish and manage vector database. But they have poor ability to process grid data, especially to organize, schedule, store and manage mass grid data, without mentioning the ability to manage and integrate the multi source, multi scale and multi phase image data. This paper does a deep research and a thorough discussion of mass image database and its realization and application. The paper mainly discusses the research background, system organization and implementation of mass image database(IMIDB) based on relational database system(RDBMS) and component object model(COM). It focuses on the logical design(including the selection of Database, the organization and the storage of remote sensing data); Web publishing architecture of remote sensing images in IMIDB and the application of its Component Object Model. Finally, a test of this system is done and the result of the test is given. From the result, we give a conclusion that the system has reached the aim of the design.