Monitoring changes in land use and land cover using deep learning methods

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dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.advisorZhu, Lingli
dc.contributor.authorSöderström, Emilia
dc.contributor.schoolInsinööritieteiden korkeakoulufi
dc.contributor.supervisorRönnholm, Petri
dc.date.accessioned2023-12-18T20:19:34Z
dc.date.available2023-12-18T20:19:34Z
dc.date.issued2023-12-11
dc.format.extent67
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/125090
dc.identifier.urnURN:NBN:fi:aalto-202312187458
dc.language.isoenen
dc.programmeMaster's Programme in Geoinformatics (GIS)fi
dc.programme.majorGeoinformatics
dc.subject.keywordland useen
dc.subject.keywordland coveren
dc.subject.keyworddeep learningen
dc.subject.keywordaerial imageryen
dc.subject.keywordsemantic segmentationen
dc.titleMonitoring changes in land use and land cover using deep learning methodsen
dc.titleÖvervakning av förändringar i markanvändning och marktäcke med hjälp av djupinlärningsmetodersv
dc.typeG2 Pro gradu, diplomityöfi
dc.type.ontasotMaster's thesisen
dc.type.ontasotDiplomityöfi
local.aalto.electroniconlyyes
local.aalto.openaccessno

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