Oracle Spatial, Raster Data

2017 ◽  
pp. 1530-1538
Author(s):  
Qingyun Xie
Keyword(s):  
Raster Data ◽  
Oracle Spatial

Oracle Spatial, Raster Data

2016 ◽  
pp. 1-9
Author(s):  
Qingyun Xie
Keyword(s):  
Raster Data ◽  
Oracle Spatial

Oracle Spatial, Raster Data

2008 ◽  
pp. 826-832
Author(s):  
Qingyun Xie
Keyword(s):  
Raster Data ◽  
Oracle Spatial

scholarly journals THE DESIGN OF A HIGH PERFORMANCE EARTH IMAGERY AND RASTER DATA MANAGEMENT AND PROCESSING PLATFORM

2016 ◽  
Vol XLI-B4 ◽  
pp. 551-555
Author(s):  
Qingyun Xie
Keyword(s):  
Data Processing ◽  
Data Management ◽  
Management System ◽  
Database Management ◽  
High Performance ◽  
Database Management System ◽  
Raster Data ◽  
Spatial Indices ◽  
Oracle Spatial ◽  
Processing Platform

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.

scholarly journals THE DESIGN OF A HIGH PERFORMANCE EARTH IMAGERY AND RASTER DATA MANAGEMENT AND PROCESSING PLATFORM

2016 ◽  
Vol XLI-B4 ◽  
pp. 551-555 ◽  
Author(s):  
Qingyun Xie
Keyword(s):  
Data Processing ◽  
Data Management ◽  
Management System ◽  
Database Management ◽  
High Performance ◽  
Database Management System ◽  
Raster Data ◽  
Spatial Indices ◽  
Oracle Spatial ◽  
Processing Platform

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.

A Spatiotemporally Variable Model for Nowcasting Storm Motion Vectors using Remotely Sensed Raster Data

2017 ◽  
Vol 17 (17th International Conference) ◽  
pp. 1-23
Author(s):  
Shaimaa El Sharkawy ◽  
Mona Safar ◽  
Mohamed Gad
Keyword(s):  
Remotely Sensed ◽  
Raster Data ◽  
Motion Vectors ◽  
Variable Model

Efficient computation of map algebra over raster data stored in the k2-acc compact data structure

2021 ◽  
Author(s):  
Mónica Caniupán ◽  
Rodrigo Torres-Avilés ◽  
Tatiana Gutiérrez-Bunster ◽  
Manuel Lepe
Keyword(s):  
Data Structure ◽  
Efficient Computation ◽  
Map Algebra ◽  
Raster Data

scholarly journals The wildland-anthropic interface raster data of the Italy–France maritime cooperation area (Sardinia, Corsica, Tuscany, Liguria, and Provence-Alpes-Côte d'Azur)

Data in Brief ◽  
2021 ◽  
Vol 38 ◽  
pp. 107355
Author(s):  
Liliana Del Giudice ◽  
Bachisio Arca ◽  
Carla Scarpa ◽  
Grazia Pellizzaro ◽  
Pierpaolo Duce ◽  
...  
Keyword(s):  
Raster Data
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