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Ship Detection from Optical Remote Sensing Images Using Multi-Scale Analysis and Fourier HOG Descrip...

Ship Detection from Optical Remote Sensing Images Using Multi-Scale Analysis and Fourier HOG Descrip...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a15ad08946e2423e8562c311da3622a4

Ship Detection from Optical Remote Sensing Images Using Multi-Scale Analysis and Fourier HOG Descriptor

About this item

Full title

Ship Detection from Optical Remote Sensing Images Using Multi-Scale Analysis and Fourier HOG Descriptor

Publisher

Basel: MDPI AG

Journal title

Remote sensing (Basel, Switzerland), 2019-07, Vol.11 (13), p.1529

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Automatic ship detection by Unmanned Airborne Vehicles (UAVs) and satellites is one of the fundamental challenges in maritime research due to the variable appearances of ships and complex sea backgrounds. To address this issue, in this paper, a novel multi-level ship detection algorithm is proposed to detect various types of offshore ships more pre...

Alternative Titles

Full title

Ship Detection from Optical Remote Sensing Images Using Multi-Scale Analysis and Fourier HOG Descriptor

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_a15ad08946e2423e8562c311da3622a4

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_a15ad08946e2423e8562c311da3622a4

Other Identifiers

ISSN

2072-4292

E-ISSN

2072-4292

DOI

10.3390/rs11131529

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