A Comprehensive Evaluation of Machine Learning and Classical Approaches for Spaceborne Active-Passive Fusion Bathymetry of Coral Reefs

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datacite.relatedItem.firstPage381
datacite.relatedItem.issue9
datacite.relatedItem.relatedIdentifierTypeISSN
datacite.relatedItem.relatedItemIdentifier2220-9964
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datacite.relatedItem.titleIJGI
datacite.relatedItem.volume12
dc.contributor.authorJian Cheng
dc.contributor.authorLiang Cheng
dc.contributor.authorSensen Chu
dc.contributor.authorJizhe Li
dc.contributor.authorQixin Hu
dc.contributor.authorLi Ye
dc.contributor.authorZhiyong Wang
dc.contributor.authorHui Chen
dc.date.accessioned2025-05-14T14:53:45Z
dc.date.available2025-05-14T14:53:45Z
dc.date.issued2023
dc.identifier.doihttps://doi.org/10.3390/ijgi12090381
dc.identifier.otherjz000148-0378
dc.identifier.urihttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27202
dc.publisherMDPI AG
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.subject.ddc550
dc.titleA Comprehensive Evaluation of Machine Learning and Classical Approaches for Spaceborne Active-Passive Fusion Bathymetry of Coral Reefs
dc.typeArticle
dcat.distribution.pdfhttps://tustorage.ulb.tu-darmstadt.de/handle/tustorage/27203
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2023