Abstract
This paper summarizes the general requirements and specific characteristics of both geospatial raster database management system and raster data processing platform from a domain-specific perspective as well as from a computing point of view. It also discusses the need of tight integration between the database system and the processing system. These requirements resulted in Oracle Spatial GeoRaster, a global scale and high performance earth imagery and raster data management and processing platform. The rationale, design, implementation, and benefits of Oracle Spatial GeoRaster are described. Basically, as a database management system, GeoRaster defines an integrated raster data model, supports image compression, data manipulation, general and spatial indices, content and context based queries and updates, versioning, concurrency, security, replication, standby, backup and recovery, multitenancy, and ETL. It provides high scalability using computer and storage clustering. As a raster data processing platform, GeoRaster provides basic operations, image processing, raster analytics, and data distribution featuring high performance computing (HPC). Specifically, HPC features include locality computing, concurrent processing, parallel processing, and in-memory computing. In addition, the APIs and the plug-in architecture are discussed.
Highlights
The traditional dichotomy is to classify spatial data into vector data and raster data
This paper summarizes the general requirements and specific characteristics of both geospatial raster database management system and raster data processing platform from a domainspecific perspective as well as from a computing point of view. It discusses the need of tight integration between the database system and the processing system
These requirements resulted in Oracle Spatial GeoRaster, a global scale and high performance earth imagery and raster data management and processing platform
Summary
The traditional dichotomy is to classify spatial data into vector data and raster data. As a matter of fact, raster data (imagery and gridded data) is the dominant form of spatial information, which includes thematic maps, DEM/DSM, remote sensing imagery, photogrammetric photos, scanned maps, geophysical images, geological maps, etc These raster types have very different data structure comparing to vector data types and are complex data types in comparison to structured and simple data types such as numbers and strings. This paper summarizes the general requirements and specific characteristics of both geospatial raster database management system and raster data processing platform from a domainspecific perspective as well as from a computing point of view. It discusses the need of tight integration between the database system and the processing system. This paper describes the rationale, design, and implementation of Oracle Spatial GeoRaster as well as the benefits and applications
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