A Study on the Indexing of Satellite Images at NASA Regional Application Center

This paper presents a performance analysis of indexing structures for the satellite image database. The unique features of this database are that the images vary in resolution level and time of capture, but cover the same geographic area. Each image belongs to one of the following types: raw, processed, vegetation, temperature, water, and color. We are particularly interested in comparing the space requirements, insertion and creation time, and query response time. We have implemented a web-based information system for Satellite images using Oracle DBMS. We implemented different indexing structures on top of the system for our experiments. We found that SS-tree gives the best performance for our application.