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Ontology based description of satellite imageries for application ...

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These rules are easy to extend whenever either new <strong>application</strong>s or new available sensors aredeveloped. While this approach applied, users do not need to search a certain sensor but they only dowith their <strong>application</strong> and the reasoner will provide a list <strong>of</strong> datasets from different sensor that aresuitable <strong>for</strong> their tasks.5. Conclusion and future worksThis approach applies an ontology in order to describe <strong>satellite</strong> sensor properties and userrequirements in a machine readable way. The ontology includes the rules that define the relationshipsbetween sensor properties and user requirements. This approach facilitates users search <strong>for</strong> <strong>satellite</strong>images and is easy to extend when new sensors are made or new user requirements using <strong>satellite</strong>image to observe real world objects. Extending <strong>of</strong> terms <strong>for</strong> <strong>application</strong> domain will be done to apply<strong>for</strong> different disciplines and at present, image processing methods are not included in this approach.ReferenceBarb, A. S., et al. (2008). "<strong>Ontology</strong> Driven Content Mining <strong>for</strong> Semantic Queries in Satellite ImageDatabases."Campedel, M. (2009). "Knowledge Representation <strong>for</strong> Satellite Imagery."Chang, C., et al. (1997). "Titan: a High-Per<strong>for</strong>mance Remote-sensing Database."Datcu, M., et al. (2003). "In<strong>for</strong>mation Mining in Remote Sensing Image Archives: SystemConcepts."Gruber, T. R. (1993). "Toward Principles <strong>for</strong> the Design <strong>of</strong> Ontologies Used <strong>for</strong> KnowledgeSharing." International Journal Human-Computer Studies 43: 907-928.Kiemle, S. (2002). "From Digital Archive to Digital Library – A Middleware <strong>for</strong> Earth-ObservationData Management." Lecture Notes in Computer Science: 230-237.NASA "Remote Sensing Tutorial." http://rst.gsfc.nasa.gov/.Navalgund, R. R., et al. (2007). "Remote sensing <strong>application</strong>s: An overview." Current science Vol93(12).Podwyszynski, M. (2009). "Knowledge-<strong>based</strong> search <strong>for</strong> Earth Observation products." Master thesis<strong>of</strong> University <strong>of</strong> Passau Department <strong>of</strong> Computer Science and Mathematics.Ruan, N., et al. (2006). "Semantic-Based Image Retrieval in Remote Sensing Archive: An <strong>Ontology</strong>Approach."Satellite Imaging Corporation "Satellite Sensors." http://satimagingcorp.com/<strong>satellite</strong>-sensors.html.Shao, Z., et al. (2008). "Building Semantic <strong>Ontology</strong> Databases Based on Remote Sensing Images."Silva, M. P. d. S., et al. (2004). "Remote Sensing Image Mining Using Ontologies."Tomai, E., et al. (2008). "<strong>Ontology</strong>-Based Land Degradation Assessment from Satellite Images."Wang, J., et al. (2010). “Review <strong>of</strong> Remote Sensing Use in Forest Health”, The Open GeorgraphyJournal, 3, 28-42Copyright 2011 Shaker Verlag Aachen, ISBN: 978-3-8440-0451-9

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