Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques
datacite.relatedItem.firstPage | 135 | |
datacite.relatedItem.issue | 4 | |
datacite.relatedItem.relatedIdentifierType | ISSN | |
datacite.relatedItem.relatedItemIdentifier | 2220-9964 | |
datacite.relatedItem.relationType | IsPublishedIn | |
datacite.relatedItem.title | IJGI | |
datacite.relatedItem.volume | 14 | |
dc.contributor.author | Richard Boadu Antwi | |
dc.contributor.author | Prince Lartey Lawson | |
dc.contributor.author | Michael Kimollo | |
dc.contributor.author | Eren Erman Ozguven | |
dc.contributor.author | Ren Moses | |
dc.contributor.author | Maxim A. Dulebenets | |
dc.contributor.author | Thobias Sando | |
dc.date.accessioned | 2025-05-14T17:01:42Z | |
dc.date.available | 2025-05-14T17:01:42Z | |
dc.date.issued | 2025 | |
dc.identifier.doi | https://doi.org/10.3390/ijgi14040135 | |
dc.identifier.other | jz000158-0142 | |
dc.identifier.uri | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/32780 | |
dc.publisher | MDPI AG | |
dc.rights.uri | https://creativecommons.org/licenses/by/4.0/ | |
dc.subject.ddc | 550 | |
dc.title | Automated Detection of Pedestrian and Bicycle Lanes from High-Resolution Aerial Images by Integrating Image Processing and Artificial Intelligence (AI) Techniques | |
dc.type | Article | |
dcat.distribution.pdf | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/32781 | |
dcat.distribution.supplierxml | https://tustorage.ulb.tu-darmstadt.de/handle/tustorage/32782 | |
dspace.entity.type | Dataset | |
relation.isDistributionOfDataset | e012c59f-1fb4-409d-b2b7-3f2e813e0e7d | |
relation.isDistributionOfDataset | f0d8af28-9c54-4d7d-bb94-4a508c4c1918 | |
relation.isDistributionOfDataset | ded58fc1-8147-4417-b3ec-51ee4bee5d43 | |
relation.isDistributionOfDataset.latestForDiscovery | e012c59f-1fb4-409d-b2b7-3f2e813e0e7d | |
wdm.archivematicaaipuuid.original | b395db65-6487-4699-bded-752f16e6d9b4 |