Voxel-based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods
| datacite.relatedItem.firstPage | 213 | |
| datacite.relatedItem.issue | 5 | |
| datacite.relatedItem.relatedIdentifierType | ISSN | |
| datacite.relatedItem.relatedItemIdentifier | 2220-9964 | |
| datacite.relatedItem.relationType | IsPublishedIn | |
| datacite.relatedItem.title | IJGI | |
| datacite.relatedItem.volume | 8 | |
| dc.contributor.author | Florent Poux | |
| dc.contributor.author | Roland Billen | |
| dc.date.accessioned | 2025-05-14T15:15:02Z | |
| dc.date.available | 2025-05-14T15:15:02Z | |
| dc.date.issued | 2019 | |
| dc.identifier.doi | https://doi.org/10.3390/ijgi8050213 | |
| dc.identifier.other | jz000156-0211 | |
| dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/28132 | |
| dc.publisher | MDPI AG | |
| dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
| dc.subject.ddc | 550 | |
| dc.title | Voxel-based 3D Point Cloud Semantic Segmentation: Unsupervised Geometric and Relationship Featuring vs Deep Learning Methods | |
| dc.type | Article | |
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