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Achieving High-Accuracy Target Recognition Using Few ISAR Images via Multi-Prototype Network with At...

Achieving High-Accuracy Target Recognition Using Few ISAR Images via Multi-Prototype Network with At...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3144086087

Achieving High-Accuracy Target Recognition Using Few ISAR Images via Multi-Prototype Network with Attention Mechanism

About this item

Full title

Achieving High-Accuracy Target Recognition Using Few ISAR Images via Multi-Prototype Network with Attention Mechanism

Publisher

Basel: MDPI AG

Journal title

Electronics (Basel), 2024-12, Vol.13 (23), p.4703

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Inverse synthetic aperture radar (ISAR) is a significant means of detection in space of non-cooperative targets, which means that the imaging geometry and associated parameters between the ISAR platform and the detection targets are unknown. In this way, a large number of ISAR images for high-accuracy target recognition are difficult to obtain. Rec...

Alternative Titles

Full title

Achieving High-Accuracy Target Recognition Using Few ISAR Images via Multi-Prototype Network with Attention Mechanism

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_3144086087

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_3144086087

Other Identifiers

ISSN

2079-9292

E-ISSN

2079-9292

DOI

10.3390/electronics13234703

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