ISAR Resolution Enhancement Method Exploiting Generative Adversarial Network
ISAR Resolution Enhancement Method Exploiting Generative Adversarial Network
About this item
Full title
Author / Creator
Wang, Haobo , Li, Kaiming , Lu, Xiaofei , Zhang, Qun , Luo, Ying and Kang, Le
Publisher
Basel: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Basel: MDPI AG
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More information
Scope and Contents
Contents
Deep learning has been used in inverse synthetic aperture radar (ISAR) imaging to improve resolution performance, but there still exist some problems: the loss of weak scattering points, over-smoothed imaging results, and the universality and generalization. To address these problems, an ISAR resolution enhancement method of exploiting a generative...
Alternative Titles
Full title
ISAR Resolution Enhancement Method Exploiting Generative Adversarial Network
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_9c01f4fa3fa74cf9aca4fbab147226e3
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_9c01f4fa3fa74cf9aca4fbab147226e3
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs14051291
