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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Heng Sun Shixian Li Wenjun Li Zhong Ming Cai, S. |
| Copyright Year | 2004 |
| Abstract | Because of the surprisingly increasing volume and complicated 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 letter, we design and implement a prototype grid system named RSIsGrid for semantic-based RSIs retrieval using ontology and grid technologies. In order to verify the semantic-based method, measures such as the recall, precision, and query time are used. Test results have indicated that the semantic-based method can promote the query performance of the RSIs. |
| Sponsorship | IEEE Geoscience and Remote Sensing Society |
| Starting Page | 440 |
| Ending Page | 444 |
| Page Count | 5 |
| File Size | 723883 |
| File Format | |
| ISSN | 1545598X |
| Volume Number | 2 |
| Issue Number | 4 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2005-10-01 |
| Publisher Place | U.S.A. |
| Access Restriction | One Nation One Subscription (ONOS) |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image retrieval Remote sensing Ontologies Sun Geographic Information Systems Prototypes Satellites Information retrieval Content based retrieval Time measurement remote sensing images (RSIs) Grid technology image retrieval ontology |
| Content Type | Text |
| Resource Type | Article |
| Subject | Electrical and Electronic Engineering Geotechnical Engineering and Engineering Geology |
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