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Unsupervised Classification of Riverbed Types for Bathymetry Mapping in Shallow Rivers Using UAV-Bas...

Unsupervised Classification of Riverbed Types for Bathymetry Mapping in Shallow Rivers Using UAV-Bas...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_295b0b53823645798aa7d56f9f9047d6

Unsupervised Classification of Riverbed Types for Bathymetry Mapping in Shallow Rivers Using UAV-Based Hyperspectral Imagery

About this item

Full title

Unsupervised Classification of Riverbed Types for Bathymetry Mapping in Shallow Rivers Using UAV-Based Hyperspectral Imagery

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2023-05, Vol.15 (11), p.2803

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Passive remote sensing is a practical and widely used method for bathymetry mapping in shallow rivers. However, the accuracy of this approach is limited because of different riverbed types; therefore, it is important to classify the riverbed types for improving bathymetry mapping accuracy and providing useful information for fluvial systems. In thi...

Alternative Titles

Full title

Unsupervised Classification of Riverbed Types for Bathymetry Mapping in Shallow Rivers Using UAV-Based Hyperspectral Imagery

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_295b0b53823645798aa7d56f9f9047d6

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_295b0b53823645798aa7d56f9f9047d6

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs15112803

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