Extraction of Knowledge Rules for the Retrieval of Mesoscale Oceanic Structures in Ocean Satellite Images
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URI: http://hdl.handle.net/10835/5308
ISBN: ISBN: 978-3-319-47222-5
DOI: https://doi.org/10.1007/978-3-319-47223-2_6
ISBN: ISBN: 978-3-319-47222-5
DOI: https://doi.org/10.1007/978-3-319-47223-2_6
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Vidal-Fernández, Eva; Almendros Jiménez, Jesús Manuel
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2016Resumen
The processing of ocean satellite images has as goal the detection of phenomena related with ocean dynamics. In this context, Mesoscale Oceanic Structures (MOS) play an essential role. In this chapter we will present the tool developed in our group in order to extract knowledge rules for the retrieval of MOS in ocean satellite images. We will describe the implementation of the tool: the workflow associated with the tool, the user interface, the class structure, and the database of the tool. Additionally, the experimental results obtained with the tool in terms of fuzzy knowledge rules as well as labeled structures with these rules are shown. These results have been obtained with the tool analyzing chlorophyll and temperature images of the Canary Islands and North West African coast captured by the SeaWiFS and MODIS-Aqua sensors.