System Design Considerations for Image Information Mining in Large Archives

Abstract

Generally, the repository of a remote sensing system needs a capacity of hundreds of terabytes to archive original and processed data. There are several satellites whose downlink rates require ingesting over 100 GB into the archive each day. In order to process such a huge volume of data, to classify them, to index generated classes in the database, and to provide a quick access to stored information at real time, an image information mining system is developed. In this letter, we present the design of a system architecture for processing data from very large image archives.