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
About this item
Full title
Author / Creator
Li, Xiuqin , Li, Dong , Liu, Hongqing , Wan, Jun , Chen, Zhanye and Liu, Qinghua
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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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
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Author / Creator
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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
