Exploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation

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datacite.relatedItem.firstPage338
datacite.relatedItem.issue5
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume9
dc.contributor.authorAzelle Courtial
dc.contributor.authorAchraf El Ayedi
dc.contributor.authorGuillaume Touya
dc.contributor.authorXiang Zhang
dc.date.accessioned2025-05-14T16:19:30Z
dc.date.available2025-05-14T16:19:30Z
dc.date.issued2020
dc.identifier.doihttps://doi.org/10.3390/ijgi9050338
dc.identifier.otherjz000157-0335
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/30948
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleExploring the Potential of Deep Learning Segmentation for Mountain Roads Generalisation
dc.typeArticle
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