Fuzzy Semantic Retrieval of Distributed Remote Sensing Images

Because of the surprisingly increasing volume and semantically fuzzy nature of remote sensing images (RSIs), one of the main obstacles to realize efficient retrieval of the RSIs is the lack of effective sharing technologies and semantic description methods. In this paper, we present a fuzzy ontology and implement a prototype grid system named RSIsFGrid for semantic-based RSIs retrieval using fuzzy ontology and grid technologies. In order to verify this method, measures such as the recall and precision are used. Test results have indicated that the fuzzy ontology-based method can promote the query performance of RSIs