Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data

Abdollahi, A Pradhan, B Shukla, N Chakraborty, S

Alamri, A

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Field	Value	Language
dc.contributor.author	Abdollahi, A
dc.contributor.author	Pradhan, B
dc.contributor.author	Shukla, N
dc.contributor.author	Chakraborty, S https://orcid.org/0000-0002-0102-5424
dc.contributor.author	Alamri, A
dc.date.accessioned	2021-09-16T20:56:22Z
dc.date.available	2021-09-16T20:56:22Z
dc.date.issued	2021-09-16
dc.identifier.citation	Remote Sensing, 2021, 13, (18)
dc.identifier.issn	2072-4292
dc.identifier.uri	http://hdl.handle.net/10453/150607
dc.language	en
dc.publisher	MDPI AG
dc.relation.ispartof	Remote Sensing
dc.relation.isbasedon	10.3390/rs13183710
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	0203 Classical Physics, 0406 Physical Geography and Environmental Geoscience, 0909 Geomatic Engineering
dc.title	Multi-Object Segmentation in Complex Urban Scenes from High-Resolution Remote Sensing Data
dc.type	Journal Article
utslib.citation.volume	13
utslib.for	0203 Classical Physics
utslib.for	0406 Physical Geography and Environmental Geoscience
utslib.for	0909 Geomatic Engineering
pubs.organisational-group	/University of Technology Sydney
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Information, Systems and Modelling
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
dc.date.updated	2021-09-16T20:56:13Z
pubs.issue	18
pubs.publication-status	Published
pubs.volume	13
utslib.citation.issue	18

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