Design And Implement Of Practical Remote Sensing Image Database

With the rapid development of remote sensing technology, it becomes richer that we obtain the necessary multi-spectral, multi-resolution and multi-temporal remote sensing image. But it is corresponding that manage massive image data is difficult. It is great significance that effectively manage massive image data, real-time browsing, fast and accurate retrieval needed remote sensing image. In this paper, we study and practice the remote sensing image database management system. Main contents as follows:1,According to the application needs of the raster database can be divided into Data Management & Analysis Oriented Raster Database and Data Representation Oriented Raster Database. To combine the two types of database design remote sensing image database management model, and according to the application of data, Using suitable for the different compressed storage algorithm.2,Design remote sensing image database physical storage model. On the basis of huge data pyramid hierarchy model, this paper design the methods of the pyramid construction rules, vertical hierarchy and horizontal tiling. And the realization of a number of joint image resampling and tiling storage into the database.3,On the basis of analysis of the key technology of the remote sensing image database engine. For C/S structure inadequate, design and implement three-tier structure remote sensing image database engine based on component-based development, And using dual-cache technology to increase the data transfer efficiency in the client and server.4,This article implement massive image data real-time display algorithm based on tile-pyramid hierarchy model. Especially for the Data Representation Oriented Raster Database. Real-time decompression using OpenGL SDK. Effcientlly Raise the display speed, In the process of Scheduling and display data use the multi-threading technology.5,For the remote sensing image have the the characteristic that can be combined with the geographical coordinates. Take advantages of the vector storage and Spatial Relations query of the Oracle Spatial, Implement image retrieval GIS-based.On the basis of above technology, a practical remote sensing Image database system--SkyEyeDB is designed and implement.