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Ground and multi-class classification of Airborne Laser Scanner point clouds using Fully Convolutional Networks

dc.contributor.authorRizaldy, Aldino
dc.contributor.authorPersello, Claudio
dc.contributor.authorGevaert, Caroline
dc.contributor.authorElberink, Sander Oude
dc.contributor.authorVosselman, George
dc.date.accessioned2021-10-26T02:35:55Z
dc.date.available2021-10-26T02:35:55Z
dc.date.issued2018
dc.identifier.issn2072-4292
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/31662
dc.sourceIIOimport
dc.titleGround and multi-class classification of Airborne Laser Scanner point clouds using Fully Convolutional Networks
dc.typeJournal article
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1723
dc.source.journalRemote Sensing
dc.source.issue11
dc.source.volume10
dc.identifier.urlhttps://www.mdpi.com/2072-4292/10/11/1723/htm
imec.availabilityPublished - open access


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