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Hyperspectral Image Classification Based on 3D Coordination Attention Mechanism Network

Hyperspectral Image Classification Based on 3D Coordination Attention Mechanism Network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c347b9d5351243cf8be2d157998f4c7a

Hyperspectral Image Classification Based on 3D Coordination Attention Mechanism Network

About this item

Full title

Hyperspectral Image Classification Based on 3D Coordination Attention Mechanism Network

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-01, Vol.14 (3), p.608

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In recent years, due to its powerful feature extraction ability, the deep learning method has been widely used in hyperspectral image classification tasks. However, the features extracted by classical deep learning methods have limited discrimination ability, resulting in unsatisfactory classification performance. In addition, due to the limited da...

Alternative Titles

Full title

Hyperspectral Image Classification Based on 3D Coordination Attention Mechanism Network

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_c347b9d5351243cf8be2d157998f4c7a

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_c347b9d5351243cf8be2d157998f4c7a

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14030608

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