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Identificador persistente para citar o vincular este elemento: http://hdl.handle.net/10553/44049
Campo DC Valoridioma
dc.contributor.authorFuertes, Juan Joséen_US
dc.contributor.authorTravieso, Carlos M.en_US
dc.contributor.authorAlonso, J. B.en_US
dc.date.accessioned2018-11-21T19:50:43Z-
dc.date.available2018-11-21T19:50:43Z-
dc.date.issued2011en_US
dc.identifier.isbn9783642212185en_US
dc.identifier.issn0302-9743en_US
dc.identifier.urihttp://hdl.handle.net/10553/44049-
dc.description.abstractIn this work a novel system for bubbles detection on sea surface images is presented. This application is basic to verify radiometer satellite systems which are used to the study of the floor humidity and the sea salinity. 160 images of 8 kinds of salinity have been processed, 20 per class. Two main steps have been implemented: image pre-processing and enhancing in order to improve the bubbles features, and segmentation and bubbles detection. A combination system has been performed with Support Vector Machines (SVM) in order to detect the sea salinity, showing a recognition rate of 95.43%.en_US
dc.languagespaen_US
dc.publisher0302-9743en_US
dc.relation.ispartofLecture Notes in Computer Scienceen_US
dc.sourceLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)[ISSN 0302-9743],v. 6678 LNAI, p. 75-82en_US
dc.subject3307 Tecnología electrónicaen_US
dc.subject.otherInformation Systems Applications (incl.Internet), Computer Science, Database Management, Information Storage and Retrieval, Artificial Intelligence (incl. Robotics), Computation by Abstract Devices, Algorithm Analysis and Problem Complexity, Pattern Recognition, Sea Surface Image, Image Processing, Bubble Detectionen_US
dc.titleAutomatic identification approach for sea surface bubbles detectionen_US
dc.typeinfo:eu-repo/semantics/conferenceObjectes
dc.typeConferenceObjectes
dc.relation.conference6th International Conference on Hybrid Artificial Intelligence Systems (HAIS)
dc.relation.conference6th International Conference on Hybrid Artificial Intelligence Systems, HAIS 2011
dc.relation.conference6th International Conference on Hybrid Artificial Intelligent Systems, HAIS 2011
dc.identifier.doi10.1007/978-3-642-21219-2_11
dc.identifier.scopus85037971925
dc.identifier.isi000297712100011
dc.contributor.authorscopusid55231997600
dc.contributor.authorscopusid6602376272
dc.contributor.authorscopusid24774957200
dc.description.lastpage82-
dc.description.firstpage75-
dc.relation.volume6678 LNAI-
dc.investigacionIngeniería y Arquitecturaen_US
dc.type2Actas de congresosen_US
dc.contributor.daisngid4220680
dc.contributor.daisngid265761
dc.contributor.daisngid418703
dc.contributor.wosstandardWOS:Fuertes, JJ
dc.contributor.wosstandardWOS:Travieso, CM
dc.contributor.wosstandardWOS:Alonso, JB
dc.date.coverdateEnero 2011
dc.identifier.conferenceidevents120773
dc.identifier.ulpgcSíes
dc.description.sjr0,325
dc.description.sjrqQ3
item.grantfulltextnone-
item.fulltextSin texto completo-
crisitem.event.eventsstartdate23-05-2011-
crisitem.event.eventsstartdate23-05-2011-
crisitem.event.eventsstartdate23-05-2011-
crisitem.event.eventsenddate25-05-2011-
crisitem.event.eventsenddate25-05-2011-
crisitem.event.eventsenddate25-05-2011-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.deptGIR IDeTIC: División de Procesado Digital de Señales-
crisitem.author.deptIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.deptDepartamento de Señales y Comunicaciones-
crisitem.author.orcid0000-0002-4621-2768-
crisitem.author.orcid0000-0002-7866-585X-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.parentorgIU para el Desarrollo Tecnológico y la Innovación-
crisitem.author.fullNameTravieso González, Carlos Manuel-
crisitem.author.fullNameAlonso Hernández, Jesús Bernardino-
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