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Content-based retrieval of remote sensing images on the grid platform

Huge volumes of data are received every day from remote sensing sensors and the data amounts will increase rapidly following the technologies improvements. Traditional database cannot be used to store and manage these data efficiently. Every National Agency or department manage its own database independently forcing users to search data on repositories geographically distributed, moreover information extraction from these data requires powerful computing resources, but high performance resources are not anywhere. 
 
The high potentiality of Grid technology in integration of distributed and heterogeneous computational and storage resources provides new ways to solve these problems. 
 
This paper reports the results of a research project FIRB "Grid.it" on a retrieval system for remotely sensed images on GRID platform. A prototype of a retrieval system, developed by a new structured program languages (Assist 1.2), is presented and discussed.