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Multi-View Ground-Based Cloud Recognition by Transferring Deep Visual Information

Multi-View Ground-Based Cloud Recognition by Transferring Deep Visual Information

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e46b7e6bb3c940f6861b918ba5de5141

Multi-View Ground-Based Cloud Recognition by Transferring Deep Visual Information

About this item

Full title

Multi-View Ground-Based Cloud Recognition by Transferring Deep Visual Information

Publisher

Basel: MDPI AG

Journal title

Applied sciences, 2018-05, Vol.8 (5), p.748

Language

English

Formats

Publication information

Publisher

Basel: MDPI AG

More information

Scope and Contents

Contents

Since cloud images captured from different views possess extreme variations, multi-view ground-based cloud recognition is a very challenging task. In this paper, a study of view shift is presented in this field. We focus both on designing proper feature representation and learning distance metrics from sample pairs. Correspondingly, we propose tran...

Alternative Titles

Full title

Multi-View Ground-Based Cloud Recognition by Transferring Deep Visual Information

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_doaj_primary_oai_doaj_org_article_e46b7e6bb3c940f6861b918ba5de5141

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_doaj_primary_oai_doaj_org_article_e46b7e6bb3c940f6861b918ba5de5141

Other Identifiers

ISSN

2076-3417

E-ISSN

2076-3417

DOI

10.3390/app8050748

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