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<OAI-PMH schemaLocation=http://www.openarchives.org/OAI/2.0/ http://www.openarchives.org/OAI/2.0/OAI-PMH.xsd> <responseDate>2018-01-15T15:38:08Z</responseDate> <request identifier=oai:HAL:hal-00524903v1 verb=GetRecord metadataPrefix=oai_dc>http://api.archives-ouvertes.fr/oai/hal/</request> <GetRecord> <record> <header> <identifier>oai:HAL:hal-00524903v1</identifier> <datestamp>2018-01-11</datestamp> <setSpec>type:COMM</setSpec> <setSpec>subject:info</setSpec> <setSpec>subject:spi</setSpec> <setSpec>collection:CNRS</setSpec> <setSpec>collection:UNIV-POITIERS</setSpec> <setSpec>collection:UNIV-AG</setSpec> <setSpec>collection:BNRMI</setSpec> </header> <metadata><dc> <publisher>HAL CCSD</publisher> <title lang=en>A method of analysis and identification of clouds of satellite images coming from GOES satellite.</title> <creator>Nagau, Jimmy</creator> <creator>Henry, Jean-Luc</creator> <contributor>Laboratoire de Mathématiques Informatique et Applications (LAMIA) ; Université des Antilles et de la Guyane (UAG)</contributor> <contributor>SIGNAL-IMAGE-COMMUNICATION (SIC) ; Université de Poitiers - Centre National de la Recherche Scientifique (CNRS)</contributor> <source>15th Meeting of the Caribbean Academy of Sciences</source> <coverage>Gosier, Guadeloupe</coverage> <identifier>hal-00524903</identifier> <identifier>https://hal.archives-ouvertes.fr/hal-00524903</identifier> <source>https://hal.archives-ouvertes.fr/hal-00524903</source> <source>15th Meeting of the Caribbean Academy of Sciences, May 2006, Gosier, Guadeloupe</source> <language>en</language> <subject lang=en>classifier systems</subject> <subject lang=en>Pattern recognition</subject> <subject lang=en>clouds</subject> <subject lang=en>satellite</subject> <subject lang=en>gradient</subject> <subject lang=en>discriminating characteristics</subject> <subject lang=en>classifier systems.</subject> <subject>[INFO.INFO-TS] Computer Science [cs]/Signal and Image Processing</subject> <subject>[SPI.SIGNAL] Engineering Sciences [physics]/Signal and Image processing</subject> <type>info:eu-repo/semantics/conferenceObject</type> <type>Conference papers</type> <description lang=en>Weather stations are constantly provided with thousands of satellite images with a view to anticipating the progress of natural phenomenons. This constant flow ofinformation requires speed and a strict analysis. Consequently, it is absolutely necessary to implement systems capable of working night and day, in order to make assessments. In this article, we suggest a method relying on pattern recognition investigation techniques, such as segmentation and classification. These techniques will be used to locate and discriminate the banks of clouds coming from images picked up by the GOES geostationary satellite. Treatment of the cloud shapes which have been found can be carried out, using operations, such as mathematical morphology, so as to draw discriminating characteristics. Classifier systems are used in order to interpret the characteristics which have been obtained and to conduct cloud classification.</description> <date>2006-05-21</date> </dc> </metadata> </record> </GetRecord> </OAI-PMH>