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dc.contributor.authorGoult, S
dc.contributor.authorSimis, S
dc.contributor.authorLup, C
dc.contributor.authorSathyendranath, S
dc.coverage.spatialPlymouth Marine Laboratory Lady Isobel Laing Marine Matters Centreen_GB
dc.date.accessioned2019-05-28T07:52:03Z
dc.date.issued2019-04-02
dc.description.abstractAn outline of progress in the first year of research activities under my PhD. This is an outline of how and why Deep Learning can be used with remote sensing data for water contents analysis and classification, results from proof of concept experiments are described and future research activities are explained. A recording of the presentation and associated questions is available at https://1drv.ms/v/s!AsHRpsQE0ig4jPcrly23In5Tbqd10wen_GB
dc.identifier.citationPresentation: 2nd April 2019. Plymouth Marine Laboratory Lady; Isobel Laing Marine Matters Centreen_GB
dc.identifier.urihttp://hdl.handle.net/10871/37243
dc.language.isoenen_GB
dc.publisherUniversity of Exeteren_GB
dc.relation.urlhttps://1drv.ms/v/s!AsHRpsQE0ig4jPcrly23In5Tbqd10wen_GB
dc.titleTeaching computers to see from space: deep learning and Sentinel 2en_GB
dc.typePresentationen_GB
dc.date.available2019-04-02en_GB
dc.date.available2019-05-28T07:52:03Z
pubs.notesNot knownen_GB
dc.rights.urihttp://www.rioxx.net/licenses/all-rights-reserveden_GB
dcterms.dateAccepted2019-04-02
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2019-04-02
rioxxterms.typeOtheren_GB
refterms.dateFCD2019-05-28T07:50:34Z
refterms.versionFCDVoR
refterms.dateFOA2019-05-28T07:52:08Z


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