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dc.contributor.author
Lamprecht, Sebastian
dc.contributor.author
Hill, Andreas
dc.contributor.author
Stoffels, Johannes
dc.contributor.author
Udelhoven, Thomas
dc.date.accessioned
2017-11-03T15:40:28Z
dc.date.available
2017-10-06T02:14:22Z
dc.date.available
2017-11-03T15:40:28Z
dc.date.issued
2017-05-01
dc.identifier.issn
2072-4292
dc.identifier.other
10.3390/rs9050505
en_US
dc.identifier.uri
http://hdl.handle.net/20.500.11850/190575
dc.identifier.doi
10.3929/ethz-b-000190575
dc.language.iso
en
en_US
dc.publisher
MDPI
en_US
dc.rights.uri
http://creativecommons.org/licenses/by/4.0/
dc.subject
machine-learning
en_US
dc.subject
co-registration
en_US
dc.subject
individual tree detection
en_US
dc.subject
point set registration
en_US
dc.subject
tree matching
en_US
dc.subject
forest inventory
en_US
dc.title
A Machine Learning Method for Co-Registration and Individual Tree Matching of Forest Inventory and Airborne Laser Scanning Data
en_US
dc.type
Journal Article
dc.rights.license
Creative Commons Attribution 4.0 International
dc.date.published
2017-05-19
ethz.journal.title
Remote Sensing
ethz.journal.volume
9
en_US
ethz.journal.issue
5
en_US
ethz.journal.abbreviated
Remote sens.
ethz.pages.start
505
en_US
ethz.size
25 p.
en_US
ethz.version.deposit
publishedVersion
en_US
ethz.identifier.wos
ethz.identifier.scopus
ethz.publication.place
Basel
en_US
ethz.publication.status
published
en_US
ethz.leitzahl
ETH Zürich::00002 - ETH Zürich::00012 - Lehre und Forschung::00007 - Departemente::02350 - Dep. Umweltsystemwissenschaften / Dep. of Environmental Systems Science
en_US
ethz.relation.hasPart
10.3929/ethz-b-000190737
ethz.date.deposited
2017-10-06T02:14:30Z
ethz.source
WOS
ethz.eth
yes
en_US
ethz.availability
Open access
en_US
ethz.rosetta.installDate
2017-11-03T15:40:56Z
ethz.rosetta.lastUpdated
2018-11-06T00:27:22Z
ethz.rosetta.exportRequired
true
ethz.rosetta.versionExported
true
ethz.COinS
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