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Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS

dc.contributor.editorLee, Chang-Wook
dc.contributor.editorHan, Hyangsun
dc.contributor.editorLee, Hoonyol
dc.contributor.editorPark, Yu-Chul
dc.date.accessioned2022-01-11T13:37:37Z
dc.date.available2022-01-11T13:37:37Z
dc.date.issued2021
dc.identifierONIX_20220111_9783036516042_369
dc.identifier.urihttps://directory.doabooks.org/handle/20.500.12854/76634
dc.description.abstractThis book is based on Special Issue "Artificial Intelligence Methods Applied to Urban Remote Sensing and GIS" from early 2020 to 2021. This book includes seven papers related to the application of artificial intelligence, machine learning and deep learning algorithms using remote sensing and GIS techniques in urban areas.
dc.languageEnglish
dc.subject.classificationthema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TQ Environmental science, engineering and technologyen_US
dc.subject.othergroundwater potential
dc.subject.otherspecific capacity
dc.subject.othermachine learning
dc.subject.otherboosted tree
dc.subject.otherensemble models
dc.subject.otherprototype selection
dc.subject.otherriver pollution
dc.subject.othersupervised classification
dc.subject.otherWSN
dc.subject.otherprobabilistic method
dc.subject.otherMonte Carlo simulation
dc.subject.otherphysical slope model
dc.subject.otherMt. Umyeon landslides
dc.subject.otherSeoul
dc.subject.othersynthetic aperture radar
dc.subject.otherland subsidence
dc.subject.otherGIS
dc.subject.othertime-series
dc.subject.otherJakarta
dc.subject.otherland subsidence susceptibility mapping
dc.subject.othertime-series InSAR
dc.subject.otherStaMPS processing
dc.subject.otherseismic vulnerability map
dc.subject.otherDPM method
dc.subject.otherSentinel-1
dc.subject.otherseismic literacy
dc.subject.otherneural networks
dc.subject.otherurban vegetation
dc.subject.otherurban open spaces
dc.subject.otherMonterrey Metropolitan Area
dc.subject.othersustainable development
dc.subject.otherdeep learning
dc.subject.othertransfer learning
dc.subject.otherartificial intelligence
dc.subject.otherremote sensing
dc.subject.otherearth observation
dc.subject.otherDInSAR
dc.subject.otherchange detection
dc.subject.otherspace data science
dc.titleArtificial Intelligence Methods Applied to Urban Remote Sensing and GIS
dc.typebook
oapen.identifier.doi10.3390/books978-3-0365-1603-5
oapen.relation.isPublishedBy46cabcaa-dd94-4bfe-87b4-55023c1b36d0
oapen.relation.isbn9783036516042
oapen.relation.isbn9783036516035
oapen.pages165
oapen.place.publicationBasel, Switzerland


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