Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
dc.contributor.author
Volpi, Michele
dc.contributor.author
Tuia, Devis
dc.date.accessioned
2018-07-12T15:14:55Z
dc.date.available
2018-07-12T05:56:06Z
dc.date.available
2018-07-12T15:14:55Z
dc.date.issued
2018-10
dc.identifier.issn
0924-2716
dc.identifier.other
10.1016/j.isprsjprs.2018.06.007
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/275296
dc.language.iso
en
en_US
dc.publisher
Elsevier
en_US
dc.subject
Semantic segmentation
en_US
dc.subject
Semantic boundary detection
en_US
dc.subject
Convolutional neural networks
en_US
dc.subject
Conditional random fields
en_US
dc.subject
Multi-task learning
en_US
dc.subject
Decimeter resolution
en_US
dc.subject
Aerial imagery
en_US
dc.title
Deep multi-task learning for a geographically-regularized semantic segmentation of aerial images
en_US
dc.type
Journal Article
dc.date.published
2018-07-05
ethz.journal.title
ISPRS Journal of Photogrammetry and Remote Sensing
ethz.journal.volume
144
en_US
ethz.journal.abbreviated
ISPRS j. photogramm. remote sens.
ethz.pages.start
48
en_US
ethz.pages.end
60
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Amsterdam
en_US
ethz.publication.status
published
en_US
ethz.date.deposited
2018-07-12T05:56:06Z
ethz.source
SCOPUS
ethz.eth
yes
en_US
ethz.availability
Metadata only
en_US
ethz.rosetta.installDate
2018-07-12T15:14:57Z
ethz.rosetta.lastUpdated
2020-02-15T13:56:39Z
ethz.rosetta.versionExported
true
ethz.COinS
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Journal Article [120766]