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

dc.contributor.author	Rizaldy, Aldino
dc.contributor.author	Persello, Claudio
dc.contributor.author	Gevaert, Caroline
dc.contributor.author	Elberink, Sander Oude
dc.contributor.author	Vosselman, George
dc.date.accessioned	2021-10-26T02:35:55Z
dc.date.available	2021-10-26T02:35:55Z
dc.date.embargo	9999-12-31
dc.date.issued	2018
dc.identifier.issn	2072-4292
dc.identifier.uri	https://imec-publications.be/handle/20.500.12860/31662
dc.identifier.url	https://www.mdpi.com/2072-4292/10/11/1723/htm
dc.source.beginpage	1723
dc.source.issue	11
dc.source.journal	Remote Sensing
dc.source.volume	10
dc.title	Ground and multi-class classification of Airborne Laser Scanner point clouds using Fully Convolutional Networks
dc.type	Journal article
dspace.entity.type	Publication
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