MAAFEU-Net: A Novel Land Use Classification Model Based on Mixed Attention Module and Adjustable Feature Enhancement Layer in Remote Sensing Images

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datacite.relatedItem.firstPage206
datacite.relatedItem.issue5
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
datacite.relatedItem.relationTypeIsPublishedIn
datacite.relatedItem.titleIJGI
datacite.relatedItem.volume12
dc.contributor.authorYonghong Zhang
dc.contributor.authorHuajun Zhao
dc.contributor.authorGuangyi Ma
dc.contributor.authorDonglin Xie
dc.contributor.authorSutong Geng
dc.contributor.authorHuanyu Lu
dc.contributor.authorWei Tian
dc.contributor.authorKenny Thiam Choy Lim Kam Sian
dc.date.accessioned2025-05-14T14:38:18Z
dc.date.available2025-05-14T14:38:18Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.3390/ijgi12050206
dc.identifier.otherjz000148-0205
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/26510
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleMAAFEU-Net: A Novel Land Use Classification Model Based on Mixed Attention Module and Adjustable Feature Enhancement Layer in Remote Sensing Images
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/26511
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