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Satellite Parametric Description to Ontology Concepts and Semantic Classification of Satellite Data

Author

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  • Sunitha Abburu

    (Department of Computer Applications, Adhiyamaan College of Engineering, Hosur, India)

  • Nitant Dube

    (Space Applications Centre, ISRO, Ahmedabad, India)

Abstract

Current satellite data retrieval systems retrieves data using latitude, longitude, date, time and sensor parameters like wind, cloud etc. To achieve concept based satellite data retrieval like Storm, Hurricane, Overcast and Frost etc., requires ontological concept descriptions using satellite observation parameters and concept based classification of satellite data. The current research work has designed and implemented a two phase methodology to achieve this. The phase 1 defines ontology concepts through satellite observation parameters and phase 2 describes ontology concept based satellite data classification. The efficiency of the methodology is been tested by taking the Kalpana satellite data from MOSDAC and weather ontology. This achieves concept based retrieval of satellite data, application interoperability and strengthen the ontologies. The current methodology is implemented and results in concept based satellite data classification, storage and retrieval.

Suggested Citation

  • Sunitha Abburu & Nitant Dube, 2016. "Satellite Parametric Description to Ontology Concepts and Semantic Classification of Satellite Data," International Journal on Semantic Web and Information Systems (IJSWIS), IGI Global, vol. 12(2), pages 53-75, April.
    • Handle: RePEc:igg:jswis0:v:12:y:2016:i:2:p:53-75
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