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Ship Type Recognition Based on Ship Navigating Trajectory and Convolutional Neural Network

Ship Type Recognition Based on Ship Navigating Trajectory and Convolutional Neural Network

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_61f05d51170944089b20e04f394df3a9

Ship Type Recognition Based on Ship Navigating Trajectory and Convolutional Neural Network

About this item

Full title

Ship Type Recognition Based on Ship Navigating Trajectory and Convolutional Neural Network

Publisher

Basel: MDPI AG

Journal title

Journal of marine science and engineering, 2022-01, Vol.10 (1), p.84

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

With the aim to solve the problem of missing or tampering of ship type information in AIS information, in this paper, a novel ship type recognition scheme based on ship navigating trajectory and convolutional neural network (CNN) is proposed. Firstly, according to speed and acceleration of the ship, three ship navigating situations, i.e., static, n...

Alternative Titles

Full title

Ship Type Recognition Based on Ship Navigating Trajectory and Convolutional Neural Network

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_61f05d51170944089b20e04f394df3a9

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_61f05d51170944089b20e04f394df3a9

Other Identifiers

ISSN

2077-1312

E-ISSN

2077-1312

DOI

10.3390/jmse10010084

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