DC Field
Value
Language
dc.contributor.author
Kato, Akira
-
dc.contributor.author
Tsutsumida, Narumasa
-
dc.date.accessioned
2021-12-19T20:19:35Z
-
dc.date.available
2021-12-19T20:19:35Z
-
dc.date.issued
2021-12-01
-
dc.identifier.citation
<div class="csl-bib-body"> <div class="csl-entry">Kato, A., &#38; Tsutsumida, N. (2021). Deep learning with 3D laser data to identify tree species. In <i>Proceedings of the SilviLaser Conference 2021</i> (pp. 340–342). https://doi.org/10.34726/wim.2029</div> </div>
-
dc.identifier.uri
http://hdl.handle.net/20.500.12708/19168
-
dc.identifier.uri
https://doi.org/10.34726/wim.2029
-
dc.language.iso
en
-
dc.relation.ispartofseries
Geowissenschaftliche Mitteilungen
-
dc.rights.uri
http://rightsstatements.org/vocab/InC/1.0/
-
dc.subject
3d laser technology
en
dc.title
Deep learning with 3D laser data to identify tree species
en
dc.type
Konferenzbeitrag
de
dc.type
Inproceedings
en
dc.rights.license
Urheberrechtsschutz
de
dc.rights.license
In Copyright
en
dc.identifier.doi
10.34726/wim.2029
-
dc.contributor.affiliation
Chiba University, Japan
-
dc.contributor.affiliation
Saitama University, Japan
-
dc.relation.doi
10.34726/wim.1861
-
dc.relation.issn
1811-8380
-
dc.description.volume
104
-
dc.description.startpage
340
-
dc.description.endpage
342
-
dc.rights.holder
© Papers authors
-
dc.type.category
Full-Paper Contribution
-
tuw.booktitle
Proceedings of the SilviLaser Conference 2021
-
tuw.peerreviewed
true
-
tuw.relation.ispartof
10.34726/wim.1861
-
tuw.book.chapter
119
-
tuw.publication.orgunit
E120-07 - Forschungsbereich Photogrammetrie
-
dc.identifier.libraryid
AC17205115
-
dc.description.numberOfPages
3
-
tuw.relation.ispartoftuwseries
Geowissenschaftliche Mitteilungen
-
dc.rights.identifier
Urheberrechtsschutz
de
dc.rights.identifier
In Copyright
en
item.fulltext
with Fulltext
-
item.grantfulltext
open
-
item.mimetype
application/pdf
-
item.openairecristype
http://purl.org/coar/resource_type/c_5794
-
item.languageiso639-1
en
-
item.openaccessfulltext
Open Access
-
item.openairetype
conference paper
-
item.cerifentitytype
Publications
-
crisitem.author.dept
Chiba University, Japan
-
crisitem.author.dept
Saitama University
-
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