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A-BFPN: An Attention-Guided Balanced Feature Pyramid Network for SAR Ship Detection

A-BFPN: An Attention-Guided Balanced Feature Pyramid Network for SAR Ship Detection

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e6b16b21fbe14513af89eb3fa981f035

A-BFPN: An Attention-Guided Balanced Feature Pyramid Network for SAR Ship Detection

About this item

Full title

A-BFPN: An Attention-Guided Balanced Feature Pyramid Network for SAR Ship Detection

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2022-08, Vol.14 (15), p.3829

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Thanks to the excellent feature representation capabilities of neural networks, target detection methods based on deep learning are now widely applied in synthetic aperture radar (SAR) ship detection. However, the multi-scale variation, small targets with complex background such as islands, sea clutter, and inland facilities in SAR images increase...

Alternative Titles

Full title

A-BFPN: An Attention-Guided Balanced Feature Pyramid Network for SAR Ship Detection

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e6b16b21fbe14513af89eb3fa981f035

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e6b16b21fbe14513af89eb3fa981f035

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs14153829

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