Identifying Urban Wetlands through Remote Sensing Scene Classification Using Deep Learning: A Case Study of Shenzhen, China

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datacite.relatedItem.firstPage131
datacite.relatedItem.issue2
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume11
dc.contributor.authorRenfei Yang
dc.contributor.authorFang Luo
dc.contributor.authorFu Ren
dc.contributor.authorWenli Huang
dc.contributor.authorQianyi Li
dc.contributor.authorKaixuan Du
dc.contributor.authorDingdi Yuan
dc.date.accessioned2025-05-14T13:36:16Z
dc.date.available2025-05-14T13:36:16Z
dc.date.issued2022
dc.identifier.doihttps://doi.org/10.3390/ijgi11020131
dc.identifier.otherjz000147-0128
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23700
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleIdentifying Urban Wetlands through Remote Sensing Scene Classification Using Deep Learning: A Case Study of Shenzhen, China
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/23701
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