Airborne SAR Autofocus Based on Blurry Imagery Classification
Airborne SAR Autofocus Based on Blurry Imagery Classification
About this item
Full title
Author / Creator
Chen, Jianlai , Yu, Hanwen , Xu, Gang , Zhang, Junchao , Liang, Buge and Yang, Degui
Publisher
Basel: MDPI AG
Journal title
Language
English
Formats
Publication information
Publisher
Basel: MDPI AG
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Scope and Contents
Contents
Existing airborne SAR autofocus methods can be classified as parametric and non-parametric. Generally, non-parametric methods, such as the widely used phase gradient autofocus (PGA) algorithm, are only suitable for scenes with many dominant point targets, while the parametric ones are suitable for all types of scenes, in theory, but their efficienc...
Alternative Titles
Full title
Airborne SAR Autofocus Based on Blurry Imagery Classification
Authors, Artists and Contributors
Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_7f56d4fda1e64bdb8a4f939c9164fc21
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_7f56d4fda1e64bdb8a4f939c9164fc21
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs13193872
