Ship Detection with Deep Learning in Optical Remote-Sensing Images: A Survey of Challenges and Advan...
Ship Detection with Deep Learning in Optical Remote-Sensing Images: A Survey of Challenges and Advances
About this item
Full title
Author / Creator
Zhao, Tianqi , Wang, Yongcheng , Li, Zheng , Gao, Yunxiao , Chen, Chi , Feng, Hao and Zhao, Zhikang
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
Ship detection aims to automatically identify whether there are ships in the images, precisely classifies and localizes them. Regardless of whether utilizing early manually designed methods or deep learning technology, ship detection is dedicated to exploring the inherent characteristics of ships to enhance recall. Nowadays, high-precision ship det...
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Full title
Ship Detection with Deep Learning in Optical Remote-Sensing Images: A Survey of Challenges and Advances
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Author / Creator
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Record Identifier
TN_cdi_doaj_primary_oai_doaj_org_article_053cc128c5a848998618d5b55b532a7b
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_053cc128c5a848998618d5b55b532a7b
Other Identifiers
ISSN
2072-4292
E-ISSN
2072-4292
DOI
10.3390/rs16071145
