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Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR...

Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cfb0420e8d994aeab1546429152f133f

Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR Images

About this item

Full title

Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR Images

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2020-08, Vol.12 (16), p.2619

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

In recent years, with the improvement of synthetic aperture radar (SAR) imaging resolution, it is urgent to develop methods with higher accuracy and faster speed for ship detection in high-resolution SAR images. Among all kinds of methods, deep-learning-based algorithms bring promising performance due to end-to-end detection and automated feature e...

Alternative Titles

Full title

Anchor-free Convolutional Network with Dense Attention Feature Aggregation for Ship Detection in SAR Images

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_cfb0420e8d994aeab1546429152f133f

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_cfb0420e8d994aeab1546429152f133f

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs12162619

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